Individual Contributor and will supports all recruiting activities in the Engineering, Analyst, Design and Support function. Assist other recruiters in identifying resource needs, creating job descriptions, and candidate profiles. Execute strategies and meet demand and recruiting associates while utilizing flexible resources. Work to drive overall recruiting and on-boarding process integrity, quality, and budget maintenance. General Responsibilities: Sourcing, Recruiting, and interviewing potential candidates for hire. Client Management / interaction with hiring managers Administrative tasks to adhere to the required process, policies and compliance steps (OFCCP). Data Entry, Scheduling, Candidate travel, OnBoarding, etc Project Management - organize and help manage recruiting events. Basic Qualifications: Bachelor s Degree

We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Lead Software Engineer, you'll have the opportunity to be on the forefront of building this business and bring these tools to market. As a Senior Software Engineer - Data Platforms, you will: Help build / integrate innovative products and solutions to work with industry leading data and analytics platforms Maintain knowledge on industry innovations, trends and practices to curate a continual stream of incubated projects and create rapid product prototypes Mandatory Qualifications Bachelors Degree in Computer Science or a related field At least 5 years of professional software development experience (internship experience does not apply) At least 2 years of experience in building software solutions using one or more of the platforms, tools or concepts listed below: Knowledge Graph / Ontology Apache Spark Spark SQL internals (eg: Catalyst Optimizer) Query engines (eg: Presto) OpenTable formats (e.g: Iceberg) Databricks Snowflake At least 2 years of experience in building software using at least 1 of the following: Scala, Java, Python At least 2 years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)

We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Lead Software Engineer, you'll have the opportunity to be on the forefront of building this business and bring these tools to market. As a Senior Software Engineer - Data Management, you will: Help build innovative products and solutions for problems in the Data Management domain Maintain knowledge on industry innovations, trends and practices to curate a continual stream of incubated projects and create rapid product prototypes Basic Qualifications Bachelors Degree in Computer Science or a related field At least 5 years of professional software development experience (internship experience does not apply) At least 2 years of experience in building software solutions to problems in one of the Data Management areas listed below: Data Catalog / Metadata Store Access Control / Policy Enforcement Data Governance Data Lineage Data Monitoring and Alerting Data Scanning and Protection At least 2 years of experience in building software using at least 1 of the following: Golang, Java, Python, Rust, C++ At least 2 years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications Masters Degree in Computer Science or a related field At least 7 years of professional software development experience (internship experience does not apply) Software development experience in a commercial Data Management product that is being built from the ground up Experience in supporting a commercial Data Management product in cloud with Enterprise clients

We are looking for an experienced Director, Machine Learning Engineering in MLX Platform to help us build the Model Governance and Observability systems. In this role you will work on to build robust SDKs, platform components to collect metadata, traces and parameters of models running at scale and work on cutting edge Gen AI frameworks and their instrumentation. You will also lead the teams to analyze and optimize model performance, latency, and resource utilization to maintain high standards of efficiency, reliability and compliance. You will build and lead a highly talented software engineering team to unlock innovation, speed to market and real time processing. This leader must be a deep technical expert and thought leaders that help accelerate adoption of the engineering practices, up skill themselves with the industry innovations, trends and practices in Software Engineering and Machine Learning. Success in the role requires an innovative mind, a proven track record of delivering highly available, scalable and resilient governance and observability platforms. What you'll Do Lead, manage and grow multiple teams of product focused software engineers and managers to build and scale Machine Learning Model Governance and AI Observability platforms SDK s Mentor and guide professional and technical development of engineers on your team Work with product leaders to define the strategy, roadmap and destination architecture Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal external technology communities, and mentor other members of the engineering community Encourage innovation, implementation of state of the art ( SOTA) research technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity Work on cutting edge Gen AI frameworks/LLMs and provide observability using open Telemetry Analyze and optimize model performance, latency, and resource utilization to maintain high standards of efficiency, reliability and compliance Collaborate as part of a cross-functional Agile team to create and enhance software that enables state of the art, next generation big data and machine learning applications. Basic Qualifications: Bachelors degree in Computer Science, Computer Engineering or a technical field At least 15 years of experience programming with Python, Go, Scala, or C/C++ At least 5 years of experience designing and building and deploying enterprise AI or ML applications or platforms. At least 3 years of experience implementing full lifecycle ML automation using ML Ops(scalable development to deployment of complex data science workflows) At least 4 years of experience leading teams developing Machine Learning solutions and scaling At least 10 years of people management experience and experience in managing managers. Preferred Qualifications: Master s degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques. Strong problem solving and analytical skills with the ability to work independently with ownership, and as a part of a team with a strong sense of responsibilities. Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP. Experience architecting cloud systems for security, availability, performance, scalability, and cost. Experience with delivering very large models through the ML Ops life cycle from exploration to serving Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines. Experience at tech and product-driven companies/startups preferred. Ability to iterate rapidly with researchers and engineers to improve a product experience while building the core platform components for Observability and Model Governance Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting, advanced RAG and fine-tuning

We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Lead Software Engineer, you'll have the opportunity to be on the forefront of building this business and bring these tools to market. As a Lead Software Engineer - Data Management, you will: Help build innovative products and solutions for problems in the Data Management domain Maintain knowledge on industry innovations, trends and practices to curate a continual stream of incubated projects and create rapid product prototypes Participate in technology events to support brand awareness of the organization and to attract top talent. Basic Qualifications Bachelors Degree in Computer Science or a related field At least 8 years of professional software development experience (internship experience does not apply) At least 3 years of experience in building software solutions to problems in one of the Data Management areas listed below: Data Catalog / Metadata Store Access Control / Policy Enforcement Data Governance Data Lineage Data Monitoring and Alerting Data Scanning and Protection At least 3 years of experience in building software using at least 1 of the following: Golang, Java, Python, Rust, C++ At least 3 years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications Masters Degree in Computer Science or a related field At least 10 years of professional software development experience (internship experience does not apply) Experience in building a commercial Data Management product from the ground up Experience in supporting a commercial Data Management product in cloud with Enterprise clients

We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. Our TPM Sr. Manager should have: Strong technical background (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Ability to simplify the technically complex and drive we'll-educated decisions across product, engineering, design, and data science representatives Deep focus on execution, follow-through, accountability, and results Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Basic Qualifications: Bachelors Degree in Computer Science or a related field At least 10 years of professional software industry experience (internship experience does not apply) At least 5 years of experience in technical program management At least 3 years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables, and unblock teams to land business impact Preferred Qualifications: Masters Degree in Computer Science or a related field At least 12 years of professional software industry experience (internship experience does not apply) At least 3 years of experience designing and building data-intensive solutions using distributed computing At least 3 years of experience in building distributed systems highly available services using cloud computing services / architecture - using AWS, GCP or Azure At least 3 years of experience with Agile delivery At least 2 years of experience in delivering programs in one of the Data Management areas listed below: Data Protection Access Control / Policy Enforcement Data Monitoring and Alerting Data Scanning and Classification Data Governance Data Catalog / Metadata Store Data Lineage Experience in building systems solutions within a highly regulated environment

We're looking for a Lead - Machine Learning Engineer to join the Machine Learning Experience (MLX) team! As a Capital One Machine Learning Engineer (MLE), you'll be part of a team focusing on automating governance within the model development lifecycle. You will work with model training and feature and serving metadata at scale, to enable automated model governance decisions. You will contribute to building a system to do this for Capital One models, accelerating the move from fully trained models to deployable model artifacts ready to be used to fuel business decisioning. The MLX team is at the forefront of how Capital One builds and deploys we'll-managed ML models and features. We onboard and educate associates on the ML platforms and products that the whole company uses. We drive new innovation and research and we're working to seamlessly infuse ML into the fabric of the company. The ML experience were creating today is the foundation that enables each of our businesses to deliver next-generation ML-driven products and services for our customers. What you'll Do Work with model and platform teams to build systems that ingest large amounts of model and feature metadata that will feed into automated governance decisioning Partner with product and design teams to build elegant and scalable solutions to speed up governance processes Collaborate as part of a cross-functional Agile team to create and enhance software that enables state of the art, next generation big data and machine learning applications. Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Construct optimized data pipelines to feed machine learning models Use programming languages like Python, Scala, or Java Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployments of machine learning models and application code Advocate for software and machine learning engineering best practices Function as a technical lead Basic Qualifications Bachelors Degree At least 6 years of experience designing and building data intensive solutions using distributed computing At least 4 years of experience programming with Python, Go, or Java At least 2 years of experience building, scaling, and optimizing ML systems At least 2 years of experience with the full ML Development Lifecycle using industry-recognized best practices Preferred Qualifications Masters Degree or PhD in Computer Science, Electrical Engineering, Mathematics, or a similar field Atleast 3 years of experience in building production-ready data pipelines that feed ML models Atleast 3 years of on job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow Atleast 2 years of experience developing performant, resilient, and maintainable code Atleast 2 years of experience with data gathering and preparation for ML models, practices, patterns, and automation Candidates should have experience with Model Observability - Monitoring and Telematics, MLOps, Python Scripting, Stats and Mathematical Modelling and Data Pipelines. Should have developed some POC/ Production Grade Application implementing Use Case specific Fine Tuned LLM. Candidates should have Maintained/ Developed 2-3 Large Scale Production grade ML Applications involving a set of various components using different ML/ AI models i.e mix of Calssic ML models as we'll as Advanced ML Models. Integration with LLMs like LLAMA, BERT or any other transformer based model is a great plus point. Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Contributed to open source ML software Authored/co-authored a paper on a ML technique, model, or proof of concept

As a Capital One Senior Lead Engineer, you'll be part of a team focusing on observability and model governance automation for cutting edge generative AI use cases. You will work on building solutions to collect metadata, metrics and insights from the large scale Gen AI platform. And build intelligent and smart solutions to derive deep insights into platforms use-cases performance and compliance with industry standards. You will contribute to building a system to do this for Capital One models, accelerating the move from fully trained models to deployable model artifacts ready to be used to fuel business decisioning and build an observability platform to monitor the models and platform components. What you'll Do: Architect and develop full stack solutions for monitoring, logging, and managing Generative AI , machine learning workflows and models. Architect, build and deploy we'll-managed core APIs and SDKs for observability of LLMs and proprietary Foundation Models including training, pre-training, fine-tuning and prompting. Work with model and platform teams to build systems that ingest large amounts of model and feature metadata and runtime metrics to build an observability platform and to make governance decisions to ensure ethical use, data integrity, and compliance with industry standards for Gen-AI. Partner with product and design teams to develop and integrate advanced observability tools tailored to Gen-AI. Leverage cloud-based architectures and technologies to deliver solutions for platform users providing deep insights into model performance, data flow, and system health. Collaborate as part of a cross-functional Agile team, data scientists, ML engineers, and other stakeholders to understand requirements and translate them into scalable and maintainable solutions. Use programming languages like Python, Scala, or Java Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployments of machine learning models and application code. Basic Qualifications: Masters Degree in Computer Science or a related field 12+ years of experience in software engineering and solution architecture At least 8+ years of experience designing and building data intensive solutions using distributed computing At least 8+ years of experience programming with Python, Go, or Java Proficiency in observability tools such as Prometheus, Grafana, ELK Stack, or similar, with a focus on adapting them for Gen AI systems. Excellent knowledge in Open Telemetry and priority experience in building SDKs and APIs. Excellent communication skills, capable of articulating complex technical concepts to diverse audiences and driving cross-functional initiatives. Experience developing and deploying ML platform solutions in a public cloud such as AWS, Azure, or Google Cloud Platform

We are looking for a Lead Full Stack Developer with strong expertise in Python and Go, medium-level expertise in React, and a deep understanding of AWS services The ideal candidate should have experience working with open-source frameworks and a solid grasp of Machine Learning Observability This role requires a hands-on leader who can drive technical excellence while collaborating with cross-functional teams to build scalable, high-performance applications The Machine Learning Experiences(MLX) team is at the forefront of how Capital One builds and deploys we'll-managed ML models and features We onboard and educate associates on the ML platforms and products that the whole company uses We drive new innovation and research and we're working to seamlessly infuse ML into the fabric of the company The ML experience were creating today is the foundation that enables each of our businesses to deliver next-generation ML-driven products and services for our customers What you'll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in large-scale full-stack systems, distributed microservices, and machine learning systems to create solutions that meet regulatory and business needs. Develop and maintain scalable full-stack applications using Python, Go, and React. Design and implement cloud-native solutions on AWS, leveraging services like Kubernetes and Serverless infrastructure. Work with open-source frameworks to accelerate development and optimize performance. Ensure high performance, security, and reliability of applications. Collaborate with ML engineers and data scientists to enhance ML observability and monitoring capabilities. Share your passion for staying on top of tech trends, experimenting with new technologies, participating in internal external technology communities, and mentoring other engineers. From time to time, contribute to the codebase or evaluate code to maintain technical quality. Collaborate with digital product managers to deliver robust cloud-based solutions that drive powerful experiences to help millions achieve financial empowerment. Work with CI/CD pipelines, containerization (Docker, Kubernetes), and DevOps practices to improve deployment efficiency. Optimize backend performance and build robust APIs to support various business use cases. Required Qualifications 7-10 years of experience in software development, with a strong focus on backend and full-stack development. Expertise in Python and Go, with the ability to design scalable and maintainable codebases. Medium-level proficiency in React for frontend development. Hands-on experience with AWS services (eg, Lambda, ECS, S3, DynamoDB, SQS, IAM). Strong knowledge of open-source frameworks and their practical applications. Experience working on ML Observability tools and frameworks. Good understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and DevOps practices. Proven ability to work in agile environments and contribute to high-performance engineering teams. Strong problem-solving skills, attention to detail, and the ability to handle complex engineering challenges. Preferred Qualifications Experience in monitoring ML models in production and integrating observability tools. Knowledge of event-driven architectures and microservices. Familiarity with GraphQL and WebSockets. Strong understanding of data processing pipelines and streaming architectures.

As a Capital One Principal Associate - ML Engineer , you'll be part of a team focusing on observability and model governance automation for cutting edge generative AI use cases. You will work on building solutions to collect metadata, metrics and insights from the large scale genAI platform. And build intelligent and smart solutions to derive deep insights into platforms use-cases performance and compliance with industry standards. You will contribute to building a system to do this for Capital One models, accelerating the move from fully trained models to deployable model artifacts ready to be used to fuel business decisioning and build an observability platform to monitor the models and platform components. The MLX team is at the forefront of how Capital One builds and deploys we'll-managed ML models and features. We onboard and educate associates on the ML platforms and products that the whole company uses. We drive new innovation and research and we're working to seamlessly infuse ML into the fabric of the company. The ML experience were creating today is the foundation that enables each of our businesses to deliver next-generation ML-driven products and services for our customers. What you'll Do: Lead the design and implementation of observability tools and dashboards that provide actionable insights into platform performance and health. Leverage Generative AI models and fine tune them to enhance observability capabilities, such as anomaly detection, predictive analytics, and troubleshooting copilot. Build and deploy we'll-managed core APIs and SDKs for observability of LLMs and proprietary Gen-AI Foundation Models including training, pre-training, fine-tuning and prompting. Stay abreast of the latest trends in Generative AI and platform observability, and drive the adoption of emerging technologies and methodologies. Bring research mindset, lead Proof of concept to showcase capabilities of large language models in the realm of observability and governance which enables practical production solutions for improving platform users productivity. Basic Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or related field. Atleast 4 years of experience in machine learning engineering with a strong focus on platform observability and hands-on experience on building RAG patterns, semantic kernels etc Hands-on experience with Generative AI models and their application in observability or related areas. At least 4 years of experience programming with Python, Go, or Java At least 2 years Proficiency in observability tools such as Prometheus, Grafana, ELK Stack, or similar, with a focus on adapting them for Gen AI systems. At least 3 years of experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow. At least 2 years of Experience in developing applications using Generative AI i.e open source or commercial LLMs, and some experience in latest open source libraries such as LangChain, haystack and vector databases like open search, chroma and FAISS. Prior experience in leveraging open source libraries for observability such as langfuse, phoenix, openInference, helicone etc Excellent knowledge in Open Telemetry and priority experience in building SDKs and APIs. Proficiency in programming languages such as Python, Java, or Go, with strong understanding of microservices architecture. Experience with cloud platforms like AWS, Azure, or GCP. Preferred Qualifications: Experience in machine learning, particularly in deploying and operationalizing ML models. Familiarity with container orchestration tools like Kubernetes and Docker. Knowledge of data governance and compliance, particularly in the context of machine learning and AI systems. Prior experience in NVIDIA GPU Telemetry and experience in CUDA Masters or doctoral degree in computer science, electrical engineering, mathematics, or a similar field. Contributed to open source ML software. Authored/co-authored papers, patents on ML techniques, models, or proof of concept. Knowledge of data governance and compliance, particularly in the context of machine learning and AI systems.

Lead a team of developers with deep experience in distributed microservices, and full stack systems to create robust, cloud native, resilient, and highly scalable solutions in data management and security domains Be an inspirational leader, with a talent growth strategy by attracting and retaining talent, involved heavily in hiring process and practice, continues to create high levels of energy and motivation through challenges and obstacles, and proactively manages all talent by actively coaching and improving the performance of directs Go deep into our product and engineering solutions with the ability to learn quickly and have a strong engineering and technology background Help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices to curate a continual stream of incubated projects and create rapid product prototypes Promote a culture of engineering excellence and being we'll-managed, using opportunities to reuse and innersource solutions where possible. Lead the craftsmanship, availability, resilience, and scalability of your solutions Be the guiding force for stakeholders in design and architecture discussions, helping the engineering teams make key technology choices, and staying associated with the use case through its development lifecycle Effectively communicate with and influence key stakeholders across the enterprise at all levels of the organization. Proven collaborator and have the ability to build very strong partnerships with others to gain the trust and confidence of those around them, from hands on engineers to executives Basic Qualifications Bachelors Degree At least 10 years of professional software engineering experience (internship experience does not apply) At Least 4 years of people management experience At Least 2 years of project management experience - roadmap planning, stakeholder management, delivery and timeline management etc At Least 1year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications Masters Degree 5+ years of experience in at least one of the following: Golang, Java, Python, React (TypeScript), Rust, C++ 5+ years of experience Big Data, Data Security, Governance and Controls 5+ years of people management experience 3+ years of experience with AWS, GCP, Azure, or another cloud service 3+ years of project management experience - roadmap planning, stakeholder management, delivery and timeline management etc 2+ years of experience in Agile practices

We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Team Info: The Machine Learning Experience (MLX) team supports an internally hosted Model Training ecosystem running critical infrastructure for machine learning and data analysis across Capital One. You will get an opportunity to collaborate on the 1000s of models being trained on the platform by 4000+ users and dive deep into the unique engineering challenges we have around compute, data access, security and scale. You will make critical updates to our service infrastructure and AWS services to maintain the longevity of the platform and stabilize the offering for our customers. You will have an opportunity to work on the service layer written in Go/Python, debug Jupyter issues/conda environments, support DAG data model migrations, and build the Spark/Dask/Ray compute infrastructure to support the future of AI and ML at Capital One. What you'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal external technology communities, mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelor s Degree At least 4 years of professional software engineering experience (Internship experience does not apply) Preferred Qualifications: Atleast 5 years of experience in at least one of the following: Go, Python, Javascript, Java, or Scala Atleast 1 year of experience with AWS, GCP, Azure, or another cloud service Atleast 2 years of experience with Kubernetes Atleast 3 years of experience in open source frameworks Atleast2 years of experience in Agile practices

We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Lead Software Engineer, you'll have the opportunity to be on the forefront of building this business and bring these tools to market. Senior Manager, Software Engineering (Data Management), you will: Lead a team of developers to create robust, cloud native, resilient, and highly scalable solutions in data management and security domains Be an inspirational leader, with a talent growth strategy by attracting and retaining talent Go deep into our product and engineering solutions with the ability to learn quickly and have a strong engineering and technology background Maintain knowledge on industry innovations, trends and practices to curate a continuous stream of incubated projects and create rapid product prototypes Promote a culture of engineering excellence and being we'll-managed, using opportunities to reuse and innersource solutions where possible. Be the guiding force for stakeholders in design and architecture discussions, helping the engineering teams make key technology choices, and staying associated with the use case through its development lifecycle Effectively communicate with and influence key stakeholders across the enterprise at all levels of the organization. Basic Qualifications Bachelors Degree in Computer Science or a related field At least 10 years of professional software development experience (internship experience does not apply) At Least 4 years of people management experience At Least 2 years of project management experience - roadmap planning, stakeholder management, delivery and timeline management etc At least 2 years of experience in building software solutions to problems in one of the Data Management areas listed below: Data Catalog / Metadata Store Access Control / Policy Enforcement Data Governance Data Lineage Data Monitoring and Alerting Data Scanning and Protection At least 3 years of experience in building software using at least 1 of the following: Golang, Java, Python, Rust, C++ At least 2 years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications Masters Degree in Computer Science or a related field At least 12 years of professional software development experience (internship experience does not apply) Experience in building a commercial Data Management product from the ground up Experience in supporting a commercial Data Management product in cloud with Enterprise clients At least 2 years of experience in Agile practices

DataLabs is looking for a Principal Associate to spearhead our foray into autonomous and intelligent data products that solve the full gamut of business and analytical needs This role involves working with Product Management, Architects and Project Engineering leadership to develop and deploy robust, scalable, secure and we'll-managed state-of-the-art solutions to achieve the business goals At DataLabs, you will work in a fast paced and intellectually rigorous environment You will apply strategic analytical and product leadership skills to major business challenges You will have the opportunity to learn and build deep expertise in the core areas of industrial-scale system design, development and deployment, advanced analytics, data science and machine learning And you will do it all in a collaborative environment that values problem solving, encourages creativity, promotes learning, and rewards innovation DataLabs prides itself on its exceptionally vibrant culture Our Associate Development program enables us to shape amazing career and professional development opportunities for our associates Our best-in-class Corporate Social Responsibility program has nurtured longstanding partnerships with committed organizations that make a meaningful difference to the communities around us The enthusiastic volunteering by our associates is the backbone of all that we do - it enables us to push the envelope of possibilities and have incredible fun along the way We bend backwards to take care of one another through thick and thin Our work and the people we are surrounded by are an enduring source of strength and fulfillment in our lives What you'll Do: Play the role as a subject matter expert and provide leadership in one or more areas of the project with deep experience in distributed microservices, and full stack systems to create solutions that drive the business goals of the company. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code. Own delivery of end to end software development in design, development, test, release and maintenance. Collaborate with Architects and contribute in design solutioning of products. Ensure adherence to architecture standards, risk management and security standards. Participate in the design discussions and break down requirements into HLD and LLD as applicable solutions on project priorities and requirements. Develop we'll managed applications implementing best coding practices, testable, efficient code with reusability. Provide support/guidance to the team members on the technical queries. Work with development teams and product managers in prioritizing the requirements and manage development teams to deliver as per committed timelines. Define the stories complexities and effort estimations for every sprint. Ideate on improving the applications using implementation of cutting-edge technologies. Strictly follow scrum practices and adhere to Definition of Done principles defined in the product teams. Basic Qualifications: Bachelors Degree in Computer Science or a related field At least 5 years of experience in software engineering At least 3 years experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Strong problem-solving skills. Excellent communication and teamwork with experience in collaborating with onshore team/stakeholders. Experience in building scalable, real time applications using Microservices Architecture Experience in deployment process, building compliance adhered software. Experience in troubleshooting, debugging applications and proactive participation in testing and bug fixes. Ability to build scalable applications working on a continuous delivery environment, writing production ready code. Preferred Qualifications: Masters Degree Knowledge of backend technologies like Java(Preferred), Springboot , Microservices, JSON, Python(Good to have). Knowledge of frontend technologies like Javascript, Node.js, Angular.js. Knowledge of database technologies like Postgres(Preferred), Mysql, PostGres, Sql server. No sql Database knowledge, Elastic search(Good to have). Knowledge on CI/CD tools like Jenkins. Knowledge on Event streaming tools like Kafka platform. Knowledge of Source Code Management systems Git, github. Knowledge in cloud based platforms build and deployments (AWS preferred, GCP,Azure). AWS Certification.

Lead a team of developers with deep experience in distributed microservices, and full stack systems to create robust, cloud native, resilient, and highly scalable solutions in data management and security domains Be an inspirational leader, with a talent growth strategy by attracting and retaining talent, involved heavily in hiring process and practice, continues to create high levels of energy and motivation through challenges and obstacles, and proactively manages all talent by actively coaching and improving the performance of directs Go deep into our product and engineering solutions with the ability to learn quickly and have a strong engineering and technology background Help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices to curate a continual stream of incubated projects and create rapid product prototypes Promote a culture of engineering excellence and being we'll-managed, using opportunities to reuse and innersource solutions where possible. Lead the craftsmanship, availability, resilience, and scalability of your solutions Be the guiding force for stakeholders in design and architecture discussions, helping the engineering teams make key technology choices, and staying associated with the use case through its development lifecycle Effectively communicate with and influence key stakeholders across the enterprise at all levels of the organization. Proven collaborator and have the ability to build very strong partnerships with others to gain the trust and confidence of those around them, from hands on engineers to executives Basic Qualifications Bachelors Degree At least 12 years of professional software engineering experience (internship experience does not apply) At Least 4 years of people management experience At Least 2 years of project management experience - roadmap planning, stakeholder management, delivery and timeline management etc At Least 1 year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications Masters Degree At least 5 years of experience in at least one of the following: Java, Python, Javascript (TypeScript) At least 5 years of people management experience At least 3 years of experience with AWS or any other cloud service At least 3 years of project management experience - roadmap planning, stakeholder management, delivery and timeline management etc At least 2 years of experience in Agile practices

We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Senior Lead Software Engineer, you'll have the opportunity to be on the forefront of building this business and bring these tools to market. As a Senior Lead Software Engineer - Data Management, you will: Help build innovative products and solutions for problems in the Data Management domain Maintain knowledge on industry innovations, trends and practices to curate a continuous stream of incubated projects and create rapid product prototypes Participate in technology events to support brand awareness of the organization and to attract top talent. Champion the adoption of enterprise tech standards and architecture patterns. Continuously improve the engineering culture by being engaged in technology community activities, conducting training, authoring blog posts, filing patents etc Be the guiding force for stakeholders in design and architecture discussions, helping the engineering teams make key technology choices, and staying associated with the use case through its development lifecycle Effectively communicate with and influence key stakeholders across the enterprise at all levels of the organization. Basic Qualifications Bachelors Degree in Computer Science or a related field At least 12 years of professional software development experience (internship experience does not apply) At least 3 years of experience in building software solutions to problems in one of the Data Management areas listed below: Data Catalog / Metadata Store Access Control / Policy Enforcement Data Governance Data Lineage Data Monitoring and Alerting Data Scanning and Protection At least 5 years of experience in building software using at least 1 of the following: Golang, Java, Python, Rust, C++ At least 3 years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications Masters Degree in Computer Science or a related field At least 14 years of professional software development experience (internship experience does not apply) At least 2 years of experience in building software solutions using one or more of the platforms, tools or concepts listed below: Knowledge Graph / Ontology Apache Spark Spark SQL internals (eg: Catalyst Optimizer) Query engines (eg: Presto) OpenTable formats (e.g: Iceberg) Databricks Snowflake Proven ability in building a commercial Data Management product from the ground up Proven ability in supporting a commercial Data Management product in cloud with Enterprise clients At least 2 years of experience in Agile practices

As a Capital One Software Engineer, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful services, to back-end Java based systems using the hottest techniques in Big Data. you'll bring solid experience in emerging and traditional technologies such as: node.js, Java, AngularJS, React, Python, REST, JSON, XML, Ruby, HTML / HTML5, CSS, NoSQL databases, relational databases, Hadoop, Chef, Maven, iOS, Android, and AWS/Cloud Infrastructure to name a few. You will lead leading the technical design and development of cross-functional, multi-platform application systems, and will have the opportunity to remain in a hands-on engineering role, writing beautiful code, while also providing functional and technical leadership, and mentoring software engineers on complex and high priority technology projects. Responsibilities: - Own the technical design and development of cross-functional, multi-platform application systems. - Drive tactical delivery for multiple teams. - Work with business partners, architects, and other groups to identify technical and functional needs of systems, and determine priority of needs. - Ensure adherence to defined development life cycle, good software design practices, and Architecture strategy and intent - Partner with business systems analysts (BSAs), project managers (PMs), and customers to understand the scope of work, priorities, and requirements for development. - Collaborate with performing teams to deliver new capabilities in business applications and/or remediate issues. - Enforce company policies in areas of development methodology, architecture, security, change and configuration management, compliance, and HR. - Analyze, define and document requirements for data, workflow, logical processes, hardware and operating system environment - Analyze and estimate feasibility, cost, time, and compatibility with hardware and other programs. - Coordinate coding, testing, implementation and documentation of solutions - Responsible for key system design and integration decisions; and for communicating decisions to individuals implementing the system. Basic Qualifications: - Bachelors Degree - At least 8 years of software development experience - At least 5 years of experience managing software development projects through complete release cycles and working with cross-functional business and technology teams - At least 5 years experience in people management Preferred Qualifications: - Masters Degree - At least 10 years software development experience - At least 6 years experience in Agile - An understanding of why and how to build products that are accessible to everyone, including those with disabilities

DataLabs is looking for a Principal Associate to spearhead our foray into autonomous and intelligent data products that solve the full gamut of business and analytical needs. This role involves working with Product Management, Architects and Project Engineering leadership to develop and deploy robust, scalable, secure and we'll-managed state-of-the-art solutions to achieve the business goals. At DataLabs, you will work in a fast paced and intellectually rigorous environment. You will apply strategic analytical and product leadership skills to major business challenges. You will have the opportunity to learn and build deep expertise in the core areas of industrial-scale system design, development and deployment, advanced analytics, data science and machine learning. And you will do it all in a collaborative environment that values problem solving, encourages creativity, promotes learning, and rewards innovation. DataLabs prides itself on its exceptionally vibrant culture. Our Associate Development program enables us to shape amazing career and professional development opportunities for our associates. Our best-in-class Corporate Social Responsibility program has nurtured longstanding partnerships with committed organizations that make a meaningful difference to the communities around us. The enthusiastic volunteering by our associates is the backbone of all that we do - it enables us to push the envelope of possibilities and have incredible fun along the way. We bend backwards to take care of one another through thick and thin. Our work and the people we are surrounded by are an enduring source of strength and fulfillment in our lives. What you'll Do: Play the role as a subject matter expert and provide leadership in one or more areas of the project with deep experience in distributed microservices, and full stack systems to create solutions that drive the business goals of the company. Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code. Own delivery of end to end software development in design, development, test, release and maintenance. Collaborate with Architects and contribute in design solutioning of products. Ensure adherence to architecture standards, risk management and security standards. Participate in the design discussions and break down requirements into HLD and LLD as applicable solutions on project priorities and requirements. Develop we'll managed applications implementing best coding practices, testable, efficient code with reusability. Provide support/guidance to the team members on the technical queries. Work with development teams and product managers in prioritizing the requirements and manage development teams to deliver as per committed timelines. Define the stories complexities and effort estimations for every sprint. Ideate on improving the applications using implementation of cutting-edge technologies. Strictly follow scrum practices and adhere to Definition of Done principles defined in the product teams. Basic Qualifications: Bachelors Degree in Computer Science or a related field At least 6+ years of experience in software engineering At least 3 years experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Strong problem-solving skills. Excellent communication and teamwork with experience in collaborating with onshore team/stakeholders. Experience in building scalable, real time applications using Microservices Architecture Experience in deployment process, building compliance adhered softwares. Experience in troubleshooting, debugging applications and proactive participation in testing and bug fixes. Ability to build scalable applications working on a continuous delivery environment, writing production ready code. Preferred Qualifications: Masters Degree Knowledge of backend technologies like Java(Preferred), Springboot ,Microservices, JSON, Python(Good to have). Knowledge of frontend technologies like Javascript, Node.js, Angular.js. Knowledge of database technologies like Postgres(Preferred), Mysql, PostGres, Sql server. No sql Database knowledge, Elastic search(Good to have). Knowledge on CI/CD tools like Jenkins. Knowledge on Event streaming tools like Kafka platform. Knowledge of Source Code Management systems Git, github. Knowledge in cloud based platforms build and deployments (AWS preferred, GCP,Azure). AWS Certification.

We are seeking DevOps Engineers who are passionate about marrying data with emerging technologies to join our team. As a DevOps Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Team Info: The EMP (Enterprise Model Platform) SRE team is responsible for building, maintaining, and governing the model development Kubernetes fleet. This includes, but is not limited to, the Kubernetes control plane, workers, storage, addons, custom operators, and applications within each cluster as our team is the very foundation of the ML platform at Capital One. Additionally, this team owns microservices that enable self-service onboarding and interactions with the ML fleet of clusters. We work closely with various open source projects and internal teams to ensure a seamless experience for our internal customers building machine learning models. What you'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services Basic Qualifications: Bachelors degree At least 4 years of experience in DevOps Engineering (Internship experience does not apply) At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) At least 2 years of Unix or Linux system administration experience Preferred Qualifications: At least 2 years of experience with Terraform or Ansible At least 2 years of experience with container orchestration services including Docker or Kubernetes At least 2 years experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) At least 2 years of experience working with Agile Development Practices

DataLabs is looking for an experienced Office Operations Specialist This is a great opportunity for a detail-oriented, innovative, and experienced candidate to drive strategic themes that are key to the we'll being of the organization and its growth The people of DataLabs are committed to Capital One s corporate culture of excellence and doing the right thing Our work environment is fast paced, collaborative, and fosters problem solving and innovation The ideal candidate for this role should fit we'll with these organizational attributes S/he should have exceptional personal integrity and communication skills, and be able to win the trust and respect of associates by communicating openly and consistently meeting commitments DataLabs prides itself on its exceptionally vibrant culture Our Associate Development program enables us to shape amazing career and professional development opportunities for our associates Our best-in-class Corporate Social Responsibility program has nurtured longstanding partnerships with committed organizations that make a meaningful difference to the communities around us The enthusiastic volunteerism of our associates is the backbone of all that we do - it enables us to push the envelope of possibilities and have incredible fun along the way We bend backwards to take care of one another through thick and thin Our work and the people we are surrounded by are an enduring source of strength and fulfillment in our lives Specific responsibilities include, but are not limited to: Facilitate the operating rhythm for the organization by leading a team to deliver regular business reviews, staff meetings, town halls, and communications Develop routines and materials to increase leadership effectiveness; including identifying ways to improve, simplify or streamline processes Coordinate across leadership and teams to design the agenda and ensure readiness of materials to be used in larger leadership forums Support and manage recognition programs Manage the Learning and Development program working closely with Human Resources teams and people leaders across various departments in the organization Align organization around team norms to promote, monitor and ensure collective team culture Partner with Communications to design and deliver on effective internal and external communication strategy Empower Administrative Assistants to feel engaged, included, and developed. Ensure that they have the relevant resources or know where to find them to be successful Create a system to develop Administrative Assistant talent via involvement with related projects Deliver ad-hoc requests to support the needs of business priorities Create action plans and path forward for business-wide projects, including tracking and reporting out on status Provide tactical thought partnership to drive project delivery based on defined priorities scope of deliverables, timelines and budget; ensure alignment; identify dependencies, risks and issues and mitigate and / or escalate as needed What are we looking for - Strong communication skills: Impeccable written and verbal communications, coupled with influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills. Discretion in handling highly sensitive issues. - Teamwork: Excellent interpersonal skills and the ability to interact with individuals at all levels of the organization. - Clear results orientation: Resourcefulness with strong problem-solving skills. Display an intense focus on achieving both short and long term goals. Proactivity in taking initiative and driving processes independently. Growth mindset, proven experience with test learn methods - Strong project management and organizational skills. Intellectually curious - asks questions challenge conventional thinking. Courage and creativity to create bold solutions. - Successful track record of thriving in a fast paced, entrepreneurial, and dynamic environment. Exhibited track record of quickly putting structure in place to manage work and achieve results - Others: Excellent time management skills and understanding of the urgency of matters related to the task. Strong judgment and emotional intelligence are essential for this position Preferred Qualifications Experience Degree/Post Graduate. Level of experience: 10 plus years, but not a constraint for the right candidate At least 2 years of experience in Process Management, Project Management or equivalent Preferred Qualification Team leadership (direct or indirect teams) Proficiency in Google suite

Individual Contributor and will supports all recruiting activities in the Engineering, Analyst, Design and Support function. Assist other recruiters in identifying resource needs, creating job descriptions, and candidate profiles. Execute strategies and meet demand and recruiting associates while utilizing flexible resources. Work to drive overall recruiting and on-boarding process integrity, quality, and budget maintenance. General Responsibilities: Sourcing, Recruiting, and interviewing potential candidates for hire. Client Management / interaction with hiring managers Administrative tasks to adhere to the required process, policies and compliance steps (OFCCP). Data Entry, Scheduling, Candidate travel, OnBoarding, etc Project Management - organize and help manage recruiting events. Special projects, ongoing trainings, meetings. Basic Qualifications: Bachelor s Degree Preferred Qualifications: Master s Degree or MBA at least 8 years of experience as a full life cycle recruiter

Manage and oversee the entire recruitment process, including scheduling interviews, coordinating with hiring managers, and facilitating candidate communication. Efficiently manage interview schedules for multiple candidates and hiring managers, ensuring that all parties are available and informed of interview times and locations. Arrange all logistical aspects of interviews, including booking meeting rooms, coordinating video conferencing facilities, and arranging travel accommodations if necessary. Coordinate with hiring managers and interviewers to confirm their availability for scheduled interviews and reschedule as needed to accommodate conflicts or emergencies. Coordinate panel interviews involving multiple interviewers, ensuring that all panel members are briefed on the interview format and have access to candidate information beforehand. Facilitate virtual interviews via video conferencing platforms, troubleshooting technical issues and ensuring a smooth interview experience for both candidates and interviewers. Data collection and management Maintain and update client s applicant tracking systems and databases to ensure accurate and up-to-date records of candidates and their status in the recruitment pipeline. Gather feedback from interviewers following candidate interviews, collating comments and assessments to inform hiring decisions and provide constructive feedback to candidates. Maintain accurate records of interview schedules, outcomes, and feedback in the applicant tracking system or recruitment database for future reference and reporting purposes. Continuous Improvement: Identify opportunities to streamline and improve the interview coordination process, implementing enhancements to increase efficiency and effectiveness over time. Ensure compliance with relevant employment laws and regulations, maintain accurate documentation related to recruitment activities, and uphold confidentiality and data protection standards. Collaborate with other members of the team and hiring managers to support overall recruitment objectives and initiatives. Qualification: Graduate with at least 2 years of experience

we're looking for a S enior Manager - Technical Program Management (TPM) to join the Machine Learning Experience (MLX) team! The MLX team is at the forefront of how Capital One builds and deploys responsible ML models and features We onboard and educate associates on the ML platforms and products that the whole company uses We drive new innovation and research and we're working to seamlessly infuse ML into the fabric of the company The full ML experience we're creating will enable our lines of business to focus their time and resources on advancing their specific machine learning objectives all while continuing to deliver next-generation machine learning-driven products and services for our customers As a Senior Manager, Technical Program Management (TPM) in the MLX team, you will execute on high priority enterprise level initiatives, and influence across our organization Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals Our Senior Managers TPM have: Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle Exceptional communication and collaboration skills Excellent problem solving and influencing skills A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker Ability to simplify the technically complex and drive we'll-educated decisions across product, engineering, design, and data science representatives Deep focus on execution, follow-through, accountability, and results Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done. Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners Ability to lead a program team focused on the building of enterprise Machine Learning capabilities Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc Ability to manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing Ability to serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end Basic Qualifications: Bachelors degree At least 5 years of experience managing technical programs At least 5 years of experience designing and building data-intensive solutions using distributed computing At least 3 years of experience building highly scalable products platforms Preferred Qualifications: 3+ years of experience in building distributed systems highly available services using cloud computing services / architecture - preferably using AWS 3+ years of experience with Agile delivery 3+ years of experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables and unblock teams to land business impact 2+ years of Machine Learning experience Experience in building systems and solutions within a highly regulated environment Bachelors degree in a related technical field (Computer Science, Software Engineering) MBA or Master s Degree in a related technical field (Computer Science, Software Engineering) or equivalent experience PMP, Lean, Agile, or Six Sigma certification

The MLX team is at the forefront of how Capital One builds and deploys responsible ML models and features; we onboard and educate associates on the ML platforms and products that the whole company uses; we drive new innovation and research; and we're working to seamlessly infuse AI and ML into the fabric of the company. The ML experience were creating is the foundation upon which our lines of business will continue to deliver next-generation machine learning-driven products and services for our customers. Specific responsibilities include, but are not limited to : Develop and communicate the product vision and strategy for your area of responsibility Deeply understand the needs of data scientists, machine learning engineers and model risk officers across Capital One Partner with business and technology leadership to align on prioritization of key problems to be solved to maximize business and customer outcomes Collaborate with teams in India and USA to drive alignment with different teams working on the platform Incorporate design thinking and analytics to inform product design Responsible for a team of directly reporting product managers Maintain a healthy backlog of work and play a critical role in many agile ceremonies. Support the team with escalation and resolution of impediments Serve as the connection between customers, Capital One s mission, and your team We want you if you are : Interested in building lasting relationships with peers and having fun while building products that delight customers and drive value to the business You enjoy putting yourself in the shoes of customers to identify their pain points and then collaborating with cross-functional teams to solve these customer challenges. Even better if you have experience doing this for data scientists and machine learning engineers You are a learner who is able to quickly get up to speed in a highly technical environment Passionate about building a we'll-rounded product management skill set that is human centered, business focused, and technology driven with an emphasis on integrated problem solving and people leadership You are experienced working in an Agile environment You are a do-er who can also zoom out and think strategically You have excellent oral and written communication skills You are highly collaborative and have the ability to influence and lead Basic Qualifications : Bachelors Degree At least 10 years of experience in product management or at least 12 years of experience in business analysis or data science At least 2 years of people leadership experience leading product manager teams Preferred Qualifications : MBA or Master s degree Experience building products for data scientists, machine learning engineers or model risk officers Experience with Machine Learning and Artificial Intelligence technologies Experience working at a startup or in a startup environment

DataLabs is looking for a Manager - HRBP who will be working with heads of lines of businesses in our Financial Services division to understand contemporary business needs The role encompasses developing and motivating an exceptional business team that is drawn from elite campuses, and focused on our mission to develop world class data products At DataLabs, you will work in a fast paced and intellectually rigorous environment You will apply strategic analytical and product leadership skills to major business challenges You will have the opportunity to learn and build deep expertise in the core areas of advanced analytics, industrial-scale product design, development and deployment, data science and machine learning And you will do it all in a collaborative environment that values problem solving, encourages creativity, promotes learning, and rewards innovation Our Associate Development program enables us to shape amazing career and professional development opportunities for our associates Our work and the people we are surrounded by are an enduring source of strength and fulfillment in our lives Responsibilities: Capital One is seeking an HRBP to help amplify their people strategy and drive enhanced employee experience and culture for the organization. In this role you will be responsible for: Strategic HR Consulting : Collaborate with Business Leadership to develop and drive the HR agenda and people initiatives that support organizational goals, support business growth and elevate overall talent bar. Partner with stakeholders to build effective relationships and understand business imperatives. Design and develop appropriate messaging and events/ workshops that reinforce our culture and values Talent Management : Lead talent planning and talent development for the business. Identify key talent in the team and develop differential talent investment strategies to ensure that the organization has the right skills in place for long-term success. Coach people managers on situations including general leadership skills (Include/Empower/Inspire framework) Performance Management : Drive the annual performance management process, helping people leaders set clear goals, provide feedback and effectively support the calibration process. Organizational Design Workforce Planning: Support organizational changes, including re-structuring and realignment exercise to support business strategies design principles. Advise on demand planning for the business by analyzing workforce trends, providing insights into time to hire, turnover, skillset mapping, etc Data Driven Decision Making : Use HR analytics to provide insights and recommendations on employee pulse, retention, attrition metrics, etc that drive better decision making across the business. Compensation Strategy : Support the annual compensation review cycle for the business. Work with recruiters and leadership to recommend appropriate compensation for new hires in the business. Employee Experience : Drive employee engagement and collaborate with internal external stakeholders to maximize overall employee experience. Associate Relations : Act as the point of contact for associate relations issues, providing guidance on conflict resolution, disciplinary actions and fostering a positive workplace environment. Consult with associates, managers, and HR partners who require assistance on HR-related issues Policy and process : HR Process and Policy owner ensuring that appropriate controls are in place for all HR practices. Leveraging best practices and industry standards. Ensuring we meet our DEIB goals and lead initiatives on DEIB Culture Qualification: Education Experience : We are looking for someone with MBA/ PG in HR with at least 10 years of experience in a HRBP or similar role. Skills Competencies : Strong interpersonal and communication skills with an ability to build relationships across levels in an organization Technical knowledge of HR frameworks Sound understanding of performance, talent management and compensation processes Excellent problem solving abilities, strategic thinking and analytical skills Experience in handling employee relations situations/conflict resolution Ability to work on Google sheets and decks create presentation for leadership Ability to handle sensitive situations with professionalism and confidentiality Ability to influence and coach leaders and associates in driving performance, scaling teams and resolving challenges Ability to work effectively with cross-functional teams and build strong relationships with leadership and associates

The AI/ML team is at the forefront of how Capital One builds and deploys responsible AI and ML models and features; we onboard and educate associates on the AI/ML platforms and products that the whole company uses; we drive new innovation and research; and we're working to seamlessly infuse AI and ML into the fabric of the company. The experience were creating is the foundation upon which our lines of business will continue to deliver next-generation machine learning-driven products and services for our customers. In this role, you will focus on developing Observability capabilities for the teams within Capital One building Generative AI (GenAI) applications. More specifically, you will have to: Understand the Observability requirements for the GenAI application teams Collaborate with teams in India and USA to drive alignment with different teams working on the platform Develop short and long-term strategies for your area Partner with business and technology leadership to align on prioritization of problems to be solved to maximize business and customer outcomes Incorporate design thinking and analytics to inform product design Maintain a healthy backlog of work and play a critical role in many agile ceremonies. Support the team with escalation and resolution of impediments Serve as the connection between customers, Capital One s mission, and your team We want you if you are : Intellectually Curious - you're comfortable navigating between the big ideas and executional realities to create an achievable strategic Product Vision. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges. Communicator Influencer - You are comfortable influencing a group of executives as we'll as communicating your product vision clearly to your associates and partners. You can be open to different communication styles and listen carefully to diverse sets of ideas. Do-er - you're biased toward action, and are willing to make commitments and trade-offs with other leaders to remove impediments for your team; you are a leader obsessed with delivering valuable in an iterative way focusing in minimum viable product Passionate Customer Focus - You care about growing others and bringing them together around what s possible. You have a desire and ability to connect with our customers to fully understand their needs and build long lasting relationships. Learner - You have an appetite to learn new things or new technologies all while exhibiting humbleness when exploring unknown technologies; you will seek for internal solutions before building new Team Player - You enjoy working with diverse people and driving the team toward a common goal. You are also able to coach others and be a mentor in product development. Basic Qualifications : Bachelors Degree At least 5 years of experience in B2B product management At least 3 years of experience in Agile product management Familiarity with Generative AI technologies like Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Guardrails, Frameworks like LangChain, etc Familiarity with Observability solutions Preferred Qualifications : MBA or Master s degree Experience building observability/monitoring products Experience with Machine Learning and Artificial Intelligence technologies

DataLabs is looking for a Manager - Recruitment who will be working with heads of lines of businesses to understand hiring needs. At DataLabs, you will work in a fast paced and intellectually rigorous environment. The responsibilities of the Recruitment Manager is to ensure our company attracts, hires and retains the best employees while growing a strong talent pipeline and advising and building a close relationship with your business partners. Job Responsibilities: Lead the recruitment team in achieving operational delivery targets Deliver weekly management information reporting and other ad-hoc reporting requests Attend and contribute to project and wider business resource meetings Act as business partner to your departments, understanding their recruitment needs and guiding them on the best course of action Drive and manage the end-to-end recruitment process, from needs assessment, recommendation of attraction and sourcing strategies, direct sourcing, application screening, interviews, and offer management Collaborate with the Communications Marketing team to ensure we are using innovative and effective candidate attraction methods Direct sourcing and talent pooling to actively build talent pipelines for critical/niche skill sets Promoting Capital One as an employer of choice Build and maintain excellent working relationships with preferred suppliers, and the wider recruitment and HR team Be an advocate for recruitment processes and encourage compliance whilst demonstrating knowledge of Employment Law Provide regular updates to stakeholders on recruitment progress with key data and metrics to support evidence-based decision making Participate in broader recruitment/HR initiatives Preferred qualifications: At least 10 years of experience with full-cycle recruiting. Experience in leading projects. Bachelors degree or higher, preferably in business/management. Excellent sales and negotiation skills, with a track record of achieving targets and objectives. Confident, logical, solution-driven and results-oriented Experienced working with regional or global team set-ups would be a strong advantage

As a Product Manager on the DataLabs Capital One India team, you will design and deliver intelligent and scalable AI-first data products for the internal and external customers. This role requires a visionary leader with a passion for innovation, customer- centric design and cutting-edge technology. Specific responsibilities include, but are not limited to: Develop and communicate the product vision and strategy for your area of responsibility Partner with business and technology leadership to align on prioritization of key problems to be solved to maximize business and customer outcomes Collaborate with teams in India and USA to drive alignment with different teams working on the product Incorporate design thinking and analytics to inform product design Maintain a healthy backlog of work and play a critical role in many agile ceremonies Oversee the end-to-end product lifecycle, from ideation and requirements gathering to launch, defining success metrics and ongoing enhancements Support the team with escalation and resolution of impediments Serve as the connection between customers, Capital One s mission, and your team Human Centered . you'll deeply immerse yourself in knowing your internal and/or external customer(s) by employing empathy and design thinking to define broad-scale solutions that provide breakthrough leverage. you'll model adaptability by encouraging continuous evolution to product strategy in light of industry trends, emerging solutions, new insights and changing customer and business needs Business Focused . you'll deeply learn the financial drivers, externalities, and points of leverage within your domain to identify new products or product enhancements that drive sustainable value for Capital One. you'll promote a culture anchored in data, used to instrument products, validate outcomes, drive insights, and manage the business both tactically and strategically Technology Driven . you'll be responsible for fostering a strong agile discipline and inspiring teams to continuously improve delivery evidenced through key agility metrics. you'll partner with Technology leaders to influence end-state architecture and drive secure, resilient, performant and scalable technology solutions that solve material customer and business problems. you'll govern the responsible and efficient application of technology resources by assessing opportunities for reusing existing solutions, clearly defining minimum viable products, and always building with extensibility in mind Integrated Problem Solving . Develop and champion a bold vision that drives meaningful outcomes by embracing the art of the possible. Build frameworks for complex decision making that enable effective debate and accelerate getting to the right answer Transformational Leadership . you'll establish a long-term product portfolio strategy, informed by customer and business needs, and partner with leaders and stakeholders to regularly drive alignment, secure resources and overcome impediments. you'll attract, grow, empower, and inspire top product talent as they develop and deliver on their local product strategy in an iterative, outcome-focused and we'll-managed way We want you if you are: Intellectually Curious - you're comfortable navigating between the big ideas and executional realities to create an achievable strategic Product Vision. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges. Communicator Influencer - You are comfortable influencing a group of executives as we'll as communicating your product vision clearly to your associates and partners. You can be open to different communication styles and listen carefully to diverse sets of ideas. Do-er - you're biased toward action, and are willing to make commitments and trade-offs with other leaders to remove impediments for your team; you are a leader obsessed with delivering valuable in an iterative way focusing in minimum viable product Passionate Customer Focus - You care about growing others and bringing them together around what s possible. You have a desire and ability to connect with our customers to fully understand their needs and build long lasting relationships. Learner - You have an appetite to learn new things or new technologies all while exhibiting humbleness when exploring unknown technologies; you will seek for internal solutions before building new Team Player - You enjoy working with diverse people and driving the team toward a common goal. You are also able to coach others and be a mentor in product development. Basic Qualifications: Bachelors Degree At least 8 years of overall experience At least 3 years of experience in product management At least 2 years of experience working with Machine Learning and Generative AI technologies Preferred Qualifications: MBA or master s degree At least 3 years of experience translating business strategy and analysis into consumer facing products At least 2 years of experience working with Machine Learning and Artificial Intelligence technologies

Execute on recruiting activities for a distinct line of business and location. Work with hiring managers as a staffing consultant to identify resource needs, create job descriptions and candidate profiles. Develop internal and external recruiting strategies. Execute strategies and meet demand by working with other recruiters and recruiting coordinators. Accountable for overall recruiting and on-boarding process integrity, quality and budget maintenance. General Responsibilities: % of Time Candidate management - developing and executing sourcing plans to identify and recruit people with skills matching the hiring needs, creating relationships with candidates to facilitate process and offer accept 50 Client management - working with hiring managers, group or organization leads, and key stakeholders to understand recruiting needs and developing strategy to meet hiring goals 35 Ad hoc Project work - lead miscellaneous department projects 5 Administrative tasks - Workday, and other recruiting technologies necessary to fulfill on the role 10 Basic Qualifications: Bachelor s Degree At least 10 years of experience as a full life cycle recruiter Preferred Qualifications: Master s Degree or MBA At least 8 years of experience as a full life cycle recruiter At least 3 years of experience as a sourcing specialist Proficiency in recruiting systems

DataLabs is looking for an experienced Administrative Assistant to support Senior Executives This is a great opportunity for a detail-oriented, innovative, and experienced Administrative Assistant to support Executives at Capital One India The ideal candidate can look forward to coming to work every day with a team of people that are committed to Capital One s corporate culture of excellence and doing the right thing The candidate should possess an elevated set of moral and ethical principles, promote the value of trust throughout the organization, consistently keep commitments, and be exceptional at following action cycles S/he should also have the ability to demonstrate personal integrity, and earn and respect the trust of associates by communicating openly At DataLabs, you will work in a fast paced and intellectually rigorous environment We offer a collaborative environment that values problem solving, fosters creativity, promotes learning, and rewards innovation DataLabs prides itself on its exceptionally vibrant culture Our Associate Development program enables us to shape amazing career and professional development opportunities for our associates Our best-in-class Corporate Social Responsibility program has nurtured longstanding partnerships with committed organizations that make a meaningful difference to the communities around us The enthusiastic volunteerism of our associates is the backbone of all that we do - it enables us to push the envelope of possibilities and have incredible fun alongthe way We bend backwards to take care of one another through thick and thin Our work and the people we are surrounded by are an enduring source of strength and fulfillment in our lives Specific responsibilities include, but are not limited to: - Calendar Management : Manage complex calendars of Senior Executives independently and efficiently ensuring that their time is spent we'll. - Travel Management : Planning of travel itinerary, Ticketing, Hotel and cab bookings, Travel/Expense reports and related coordination. - Event Management : End to end management of Events like Town Halls, Team meetings, fun events, Executive visits, Recognitions, Celebrations etc including budget management. - Vendor Management : Collaborate with vendors and manage contracts, purchase orders, invoices, payments, etc - Others : Own and maintain team share drives and manage the inhouse Library. To undertake other tasks and assist teams as assigned. What are we looking for - Strong communication skills: Impeccable written and oral communications, coupled with strategic influencing skills and the ability to drive agreement through intellect, interpersonal and negotiation skills - Teamwork: Excellent interpersonal skills and the ability to interact with individuals at all levels of the organization. - Clear results orientation: Resourcefulness with strong problem-solving skills. Display an intense focus on achieving both short and long term goals. - Others: Excellent time management skills and understanding of the urgency of matters related to the task. Strong judgment and emotional intelligence are essential for this position - Successful track record of thriving in a fast paced, entrepreneurial, and dynamic environment. Preferred Qualifications Experience Degree/Post Graduate. Level of experience: 2-5 years, but not a constraint for the right candidate

DataLabs is looking for a Manager - HRBP who will be working with heads of lines of businesses in our Financial Services division to understand contemporary business needs. The role encompasses developing and motivating an exceptional business team that is drawn from elite campuses, and focused on our mission to develop world class data products. At DataLabs, you will work in a fast paced and intellectually rigorous environment. You will apply strategic analytical and product leadership skills to major business challenges. You will have the opportunity to learn and build deep expertise in the core areas of advanced analytics, industrial-scale product design, development and deployment, data science and machine learning. And you will do it all in a collaborative environment that values problem solving, encourages creativity, promotes learning, and rewards innovation. Our Associate Development program enables us to shape amazing career and professional development opportunities for our associates. Our work and the people we are surrounded by are an enduring source of strength and fulfillment in our lives. Responsibilities: Capital One is seeking an HRBP to help amplify their people strategy and drive enhanced employee experience and culture for the organization. In this role you will be responsible for: Strategic HR Consulting : Collaborate with Business Leadership to develop and drive the HR agenda and people initiatives that support organizational goals, support business growth and elevate overall talent bar. Partner with stakeholders to build effective relationships and understand business imperatives. Design and develop appropriate messaging and events/ workshops that reinforce our culture and values Talent Management : Lead talent planning and talent development for the business. Identify key talent in the team and develop differential talent investment strategies to ensure that the organization has the right skills in place for long-term success. Coach people managers on situations including general leadership skills (Include/Empower/Inspire framework) Performance Management : Drive the annual performance management process, helping people leaders set clear goals, provide feedback and effectively support the calibration process. Organizational Design Workforce Planning: Support organizational changes, including re-structuring and realignment exercise to support business strategies design principles. Advise on demand planning for the business by analyzing workforce trends, providing insights into time to hire, turnover, skillset mapping, etc Data Driven Decision Making : Use HR analytics to provide insights and recommendations on employee pulse, retention, attrition metrics, etc that drive better decision making across the business. Compensation Strategy : Support the annual compensation review cycle for the business. Work with recruiters and leadership to recommend appropriate compensation for new hires in the business. Employee Experience : Drive employee engagement and collaborate with internal external stakeholders to maximize overall employee experience. Associate Relations : Act as the point of contact for associate relations issues, providing guidance on conflict resolution, disciplinary actions and fostering a positive workplace environment. Consult with associates, managers, and HR partners who require assistance on HR-related issues Policy and process : HR Process and Policy owner ensuring that appropriate controls are in place for all HR practices. Leveraging best practices and industry standards. Ensuring we meet our DEIB goals and lead initiatives on DEIB Culture Qualification: Education Experience : We are looking for someone with MBA/ PG in HR with at least 8 years of experience in a HRBP or similar role Skills Competencies : Strong interpersonal and communication skills with an ability to build relationships across levels in an organization Technical knowledge of HR frameworks Sound understanding of performance, talent management and compensation processes Excellent problem solving abilities, strategic thinking and analytical skills Experience in handling employee relations situations/conflict resolution Ability to work on Google sheets and decks create presentation for leadership Ability to handle sensitive situations with professionalism and confidentiality Ability to influence and coach leaders and associates in driving performance, scaling teams and resolving challenges Ability to work effectively with cross-functional teams and build strong relationships with leadership and associates

Role Description In this role you will: Partner cross-functionally with data scientists, quantitative analysts, business analysts, software engineers, and project managers to manage the risk and uncertainty inherent in statistical and machine learning models in order to lead Capital One to the best decisions, not just avoid the worst ones. Build and validate statistical and machine learning models through all phases of development, from design through training, evaluation and implementation Develop new ways of identifying weak spots in model predictions earlier and with more confidence than the best available methods Assess, challenge, and at times defend state-of-the-art decision-making systems to internal and regulatory partners Leverage a broad stack of technologies Python, R, Conda, AWS, and more to reveal the insights hidden within huge volumes of data Build upon your existing machine learning and statistical toolset - both by learning new technologies and by building custom software tools for data exploration, model performance evaluation, and more Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication; prepare presentations of complex technical concepts and research results to non-specialist audiences and senior management Flex your interpersonal skills to translate the complexity of your work into tangible business goals, and challenge model developers to advance their modeling, data, and analytic capabilities The ideal candidate is: Inquisitive. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You re not afraid to share a new idea. Technical. You re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, time series, and deep learning. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Basic Qualifications: Degree in statistics, math, engineering, economics, econometrics, financial engineering, finance, or operations research with a quantitative emphasis preferred Atleast 2 years relevant work experience Experience in Python or R Preferred Skills: Proficiency in key econometric and statistical techniques (such as predictive modeling, logistic regression, panel data models, decision trees, machine learning methods) Atleast 2 years of experience model development or validation Atleast 2 years of experience in R or Python for large scale data analysis Atleast 2 years of experience with relational databases and SQL Strong analytical skills with high attention to detail and accuracy Excellent written and verbal communication skills

Specific responsibilities include, but are not limited to: IT support includes Laptops/Macbooks/AV systems/Printers/iPhone/Server room Good technical knowledge in troubleshooting Windows systems, knowledge of Macbooks will be a plus Experience working and managing tickets in ticketing tool ServiceNow Proficiency with shoulder tap, voice, e-mail and chat support Hands-On experience providing in person and remote support to users Co-ordinate with vendors for support and services Should be available for IT support, IT change and Maintenance whenever the situation arises What are we looking for Strong communication skills: Good written and verbal communications Teamwork: Excellent interpersonal skills and the ability to interact with individuals across levels Clear results orientation: Resourcefulness with strong problem-solving skills. Others: Excellent time management skills and understanding of the urgency of matters related to the task. Preferred Qualifications Experience Degree/Post Graduate in Engineering. Level of experience: 4+ years in IT Desktop support role, but not a constraint for the right candidate

Responsibilities: Work with other team members to pull together detailed plans for new projects, help determine resource allocation, and timelines. Coordinate with leaders and associates on the progress of their projects relative to plan, understand challenges and resolution, staffing, and overall outlook. The ideal candidate will independently conduct internal meetings, provide transparency on progress made, review finances, and manage outcomes for the entire gamut of projects in DataLabs. Summarize overall progress on all initiatives for the DataLabs Leadership Team, and contribute to the Office-wide planning and execution process. Identify roadblocks, problematic patterns and propose improvements. Create and maintain high quality project documentation, status reports, including timelines, resource plans, and meeting minutes in a timely manner. Desired skills and qualification: Ability to provide or recommend solutions to problems. Show flexibility to assume additional responsibilities. Solid understanding of project management principles, techniques, and skills, including the ability to set priorities, and work to tight and competing deadlines. Understanding of business and operational fundamentals. Strong computer skills, basic quantitative skills, and experience with relevant software programs. Highly organized, capable of multitasking and good time management. Ability to work in a team and contribute positively. Creative thinker and problem solver. Excellent verbal and written communication skills. Good presentation skills.

Role Description In this role you will: Partner cross-functionally with data scientists, quantitative analysts, business analysts, software engineers, and project managers to manage the risk and uncertainty inherent in statistical andmachine learning models in order to lead Capital One to the best decisions, not just avoid the worst ones. Build and validate statistical and machine learning models through all phases of development, from design through training, evaluation and implementation Develop new ways of identifying weak spots in model predictions earlier and with more confidence than the best available methods Assess, challenge, and at times defend state-of-the-art decision-making systems to internal and regulatory partners Leverage a broad stack of technologies Python, R, Conda, AWS, and more to reveal the insights hidden within huge volumes of data Build upon your existing machine learning and statistical toolset - both by learning new technologies and by building custom software tools for data exploration, model performance evaluation, and more Communicate technical subject matter clearly and concisely to individuals from various backgrounds both verbally and through written communication; prepare presentations of complex technical concepts and research results to non-specialist audiences and senior management Flex your interpersonal skills to translate the complexity of your work into tangible business goals, and challenge model developers to advance their modeling, data, and analytic capabilities The ideal candidate is: Inquisitive. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You re not afraid to share a new idea. Technical. You re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, time series, and deep learning. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Basic Qualifications: Degree in statistics, math, engineering, economics, econometrics, financial engineering, finance, or operations research with a quantitative emphasis preferred Atleast 2 years relevant work experience Experience in Python or R Preferred Skills: Proficiency in key econometric and statistical techniques (such as predictive modeling, logistic regression, panel data models, decision trees, machine learning methods) Atleast 2 years of experience model development or validation Atleast 2 years of experience in R or Python for large scale data analysis Atleast 2 years of experience with relational databases and SQL Strong analytical skills with high attention to detail and accuracy

Responsibilities: Prepare strategic communication plans consistent with the organization s strategic vision Independently manage ongoing communication processes adhering to their established cadence, ensuring that ongoing organizational activities are monitored and accurately reflected in the respective communication mechanisms Deliver effective communications tailored to different internal or external audiences Design and lay out web pages with flash animations Perform design consultation and review against design requirement Develop illustrations, logos and other designs Create impactful videos collaborating with cross-functional teams to convey the storyline and purpose to different business leaders Conceptualize and enhance visuals per the business needs Ensure final graphics and layouts are visually appealing, consistent with company standards and on-brand Basic Qualifications: Relevant Bachelor s Degree and/or work experience Stellar written and verbal communication skills Proficiency with G-Suite Ability to handle multiple projects simultaneously Knowledge of HTML code for web page designing Experience using design software such as Adobe Photoshop, Adobe Illustrator, Macromedia Flash, and Dreamweaver Creative experience in filmmaking and videography