Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Brief about the Team Fractal: Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand s and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual storytelling. Location: Gurgaon/ Mumbai / Bangalore/Pune Responsibilities: Lead and drive Fortune 50 Oncology Pharma client with programs such as Omnichannel commercial excellence, marketing analytics, next best action, content tagging, Patiente service/ Fieldforce Copilot Programs leveraging AI, MLOps and Cloud engineering from India, alongside Practice delivery leader Able to deliver to client satisfaction (NPS 70+) $2.5-4MN annual revenue Consolidate all AI initiatives in the account to enhance efficiency and growth opportunities. Drive delivery excellence, ensuring high-quality project outcomes and client satisfaction. Manage a team of Data scientists, providing guidance, support, and mentorship to foster their professional development. Collaborate with cloud engineers, designers, domain consultants daily to execute task and project deliverables Participate in daily account calls, representing the AI team and contributing to strategic discussions. Drive proposal development and client presentations using latest and greatest, actively contributing to business development efforts. Play an integral role in the pharma practice, aligning AI initiatives with broader organizational goals and closely collaborating with internal stakeholders. Act as a long-term strategic partner, contributing to the overall growth and success of the practice. Qualifications: Bachelors degree in Computer Science, Engineering, or related field. Advanced degree preferred. 12+ years proven track record of success in leading AI projects, preferably within the pharmaceutical industry. Cloud Engineering knowledge (AWS or Azure or GCP) to complement scaling of AI solutions in client ecosystems Strong people leadership skills with the ability to inspire and motivate teams towards common goals. Excellent communication and interpersonal skills, with the ability to effectively engage with clients and internal stakeholders. Demonstrated experience in project management, including delivery oversight and resource management. Strategic mindset with the ability to drive business growth and identify opportunities for expansion. Experience with proposal development and client presentations is highly desirable. Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities. Prior experience working with pharmaceutical clients is a plus. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Job Title: Data Scientist/Senior Data Scientist Location: Bangalore / Mumbai / Gurgaon / Chennai / Pune / Noida / Hyderabad Responsibilities: Design and implement advanced solutions utilizing Large Language Models (LLMs). Demonstrate self-driven initiative by taking ownership and creating end-to-end solutions. Conduct research and stay informed about the latest developments in generative AI and LLMs. Develop and maintain code libraries, tools, and frameworks to support generative AI development. Participate in code reviews and contribute to maintaining high code quality standards. Engage in the entire software development lifecycle, from design and testing to deployment and maintenance. Collaborate closely with cross-functional teams to align messaging, contribute to roadmaps, and integrate software into different repositories for core system compatibility. Possess strong analytical and problem-solving skills. Demonstrate excellent communication skills and the ability to work effectively in a team environment. Primary Skills: Natural Language Processing (NLP): Hands-on experience in use case classification, topic modeling, Q&A and chatbots, search, Document AI, summarization, and content generation. AND/OR Computer Vision and Audio: Hands-on experience in image classification, object detection, segmentation, image generation, audio, and video analysis. Generative AI: Proficiency with SaaS LLMs, including Lang chain, llama index, vector databases, Prompt engineering (COT, TOT, ReAct, agents). Experience with Azure OpenAI, Google Vertex AI, AWS Bedrock for text/audio/image/video modalities. Familiarity with Open-source LLMs, including tools like TensorFlow/Pytorch and huggingface. Techniques such as quantization, LLM finetuning using PEFT, RLHF, data annotation workflow, and GPU utilization. Cloud: Hands-on experience with cloud platforms such as Azure, AWS, and GCP. Cloud certification is preferred. Application Development: Proficiency in Python, Docker, FastAPI/Django/Flask, and Git.

Position - Visual Story Teller Intern Internship Program Details Duration - 6 months YOP - Candidates who are currently studying and not yet graduated will be considered for this requirement Eligibility - B.Des (Graphic Design) Joining location: Mumbai Internship Type - Paid Work Mode - Hybrid Note - Accommodation and relocation support are not included as part of this internship Responsibilities Conceptualizing Ideas: Developing creative concepts for visual stories that align with brand identity and target audience preferences. Content Creation: Producing high-quality visuals / graphics for different mediums of storytelling - print, social media and web Storytelling: Support the Chief Storyteller in crafting narratives that effectively communicate messages, evoke emotions, and engage audiences. Collaboration: Working closely with team members to ensure visual content aligns with intended messages. Visual Design: Utilizing design principles to create visually appealing and cohesive content across web, social media and print Visual Consistency: Ensuring all visual content maintains a consistent look and feel. Technical Skills: Adobe tools primarily. Audience Engagement: Creating interactive visual elements to enhance user experience and engagement. Audience Engagement: Creating interactive visual elements to enhance user experience and engagement Data Visualization: Transforming data into easily understandable visual formats like infographics. Adaptation: Tailoring visual content for different platforms and media channels

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. About Asper.AI Asper.ai, a Fractal company, enables interconnected and automated decisions at the intersection of demand and supply. By changing how decisions are made, Asper.ai unlocks growth and transforms organizations into adaptive, intelligent enterprises. Through its autonomic decisioning platform, Asper.ai works with data to provide proactive, interconnected, and automated decisions that help customers reach their true potential - from optimizing workflows to growing the bottom line. Role Name: Data Scientist/Sr Data Scientist Location: Bangalore | Hybrid Reporting to: Director Data Science No. of direct reports: NA/Senior Individual contributor role Why work with us Experience a fast paced, growing, and stable start-up with a culture of care at heart. You will be enabled to be your best every day - personally professionally. Be a part of the AI revolution and bring to life solutions that make a difference to the world. You will get to work with the latest technology in the field. Coming to work will not feel monotonous - you get to work with some of the brightest and the nicest colleagues you will meet and build bonds for life. We work hard and have fun together as well. Build for impact at scale with products that will fundamentally transform how CPG operates today and define for tomorrow. Our Ethos: Technology cannot do extraordinary things; it is people that make it happen. Our culture fosters collaboration, continuous learning, innovation, and an agile approach. A truly inspiring environment that lets you thrive personally and professionalWhat will you do Understand domain context and conduct exploratory data analysis to determine the best data science approach for the customer. Identify how the data science approach can be executed via the product pipeline and any customer specific configurations needed to achieve objectives. Well versed with Python Coding. Train machine learning and deep learning models on large scale time series datasets Use data wrangling and exploration to extract insights and relationships from the data Perform descriptive analysis and build visualizations to help customer understand what drives the business metrics. Identify and measure levers to help move essential metrics and make recommendations. Perform accuracy analysis to identify opportunities for performance improvement on specific slices of data and ensure high performance across all slices. Develop end to end automated pipelines for use cases like inventory management, price recommendation, demand forecasting etc. Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and clients facing teams on advanced statistical and machine learning problems. Collaborate and coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes. What you bring in experiences 2-7 years of experience as a data scientist, applied scientist, machine learning engineer or a related role. Bachelors degree in Math, Physics, Statistics, Economics, Computer Science, or similar domain Experience working with demand forecasting, Revenue growth management, Pricing and Promo Planning, calendar optimization, driver analysis, regression models and deep learning models. Experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA (Exploratory Data Analysis), modelling, insights, visualizations, monitoring, and maintenance Ability to create efficient solutions to complex problems. Strong skills in data-structures and ML (Machine Learning) algorithms Problem-solving: Ability to break the problem into small parts and applying relevant techniques to drive required outcomes Expertise in exploratory data analysis, visualizations, ETL, hypothesis testing, experimentation, automation, etc. Proficiency in Python (including packages like NumPy, pandas, Sklearn, Pytorch, TensorFlow, matplotlib), SQL and Excel. It would be awesome, if you also have experience working in CPG, FMCG or retail industry.What do we offer Visit us at www.asper.ai If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. About Asper.AI Asper.ai, a Fractal company, enables interconnected and automated decisions at the intersection of demand and supply. By changing how decisions are made , Asper.ai unlocks growth and transforms organizations into adaptive, intelligent enterprises . Through its autonomic decisioning platform , Asper.ai works with data to provide proactive, interconnected , and automated decisions that help customers reach their true potential - from optimizing workflows to growing the bottom line. Role Name: Data Scientist/Senior Data Scientist Location: Bangalore | Hybrid Reporting to: Director Data Science No. of direct reports: NA/Senior Individual contributor role Why work with us Experience a fast paced, growing, and stable start-up with a culture of care at heart. You will be enabled to be your best every day - personally professionally. Be a part of the AI revolution and bring to life solutions that make a difference to the world . You will get to work with the latest technology in the field. Coming to work will not feel monotonous - you get to work with some of the brightest and the nicest colleagues you will meet and build bonds for life . We work hard and have fun together as well. Build for impact at scale with products that will fundamentally transform how CPG operates today and define for tomorrow. Our Ethos: Technology cannot do extraordinary things; it is people that make it happen . Our culture fosters collaboration, continuous learning, innovation, and an agile approach. A truly inspiring environment that lets you thrive personally and professional If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Responsibilities: The Client Partner will play a vital role in managing consulting and analytics engagements in Healthcare Lifesciences. He / She will be expected to solve business problems, develop analytical solutions, prioritize objectives, assign tasks, and manage multiple teams in order to achieve the highest levels of client satisfaction and targeted financial results. The person additionally will be expected to provide leverage to the management in business development and capability development activities .The person should be open to travel for short durations depending on the project or team requirements. Solutioning: Building on analytics mandate across different functions / departments in healthcare and pharma organizations. Deliver on analytical solutions in HLS domain leveraging deep business understanding and analytical expertise. Strong payer, pharma, med tech and provider domain understanding with US reference and experience working in or with companies across the value chain Preferable knowledge of therapy areas such as Oncology, Rare Disease and/or other specialty pharma areas Knowledge of business process flows, systems and operational procedures and a point of view on best practices which can be used for analysis and recommendations Experience in creating, capturing and/or analyzing the business requirements Experience in leading business discovery sessions to understand and map the existing and desired business processes Program management and prioritization: Lead Fortune 500 client engagements and assignments to ensure successful and timely delivery of output with high quality and in accordance with clients needs and expectations. Analytics Sophistication: Understand the business problem and build the analytical solution framework leveraging advanced analytics algorithms as well as visualization platforms as needed. Produce outcome, generate insights and present findings to the client that meet business requirements. People management: Manage multiple teams, perform performance appraisals and develop career progression metrics. Governance: Define standard metrics and KPIs for clients and establish processes to measure them. Responsible for the quality of delivery for the engagements as measured by relationship specific measures as well as Net Promoter Score (NPS). This would include, among other things, design review of the solution, scaling and institutionalizing analytics in the client organization, high level of program management, and meeting all other engagement goals. Business development: Assist the global sales and consulting teams and coordinate with internal capability teams in pursuing ongoing leads / RFPs from solutioning standpoint. Qualification Experience: The person must have displayed Analytics delivery excellence and solutioning expertise to healthcare and life sciences clients with increasing span of influence over their careers. This is an opportunity to grow with the growing HLS vertical of Fractal Analytics. Expected to have minimum 20-25 years of work experience in developing and deploying sophisticated analytical solutions. Minimum 15 years in healthcare and life sciences (payers, providers, pharma, med tech) analytics

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Senior Engineer_Data Engineer_7 [Location; City, Country] Job Description: Role Details 1. Team Leadership: o Knowledge of ITIL processes and incident management frameworks. o Lead and mentor a team of Level 1 and Level 2 engineers, ensuring efficient handling of support activities. o Provide technical guidance to resolve complex issues and optimize workflows. o Assign tasks, track progress, and ensure SLA compliance for support tickets. 2. Technical Oversight: o Manage the support operations for applications and pipelines built on Azure Databricks, PySpark, Azure Data Factory, and Azure Function Apps. o Oversee the monitoring and maintenance of Azure SQL databases and AKS deployments. o Review and debug Python-based scripts and PySpark jobs to resolve incidents and optimize performance. 3. Incident Management and Escalation: o Serve as the escalation point for critical incidents and production issues. o Ensure root cause analysis (RCA) is conducted for recurring incidents and preventive measures are implemented. o Drive effective communication with stakeholders on incident status and resolution timelines. 4. Process Optimization and Automation: o Identify and implement improvements in support processes to enhance efficiency and reliability. o Leverage automation tools to reduce manual intervention and streamline operations. 5. Collaboration and Stakeholder Management: o Work closely with cross-functional teams, including development and operations, to ensure alignment and timely issue resolution. o Provide regular updates and reports to leadership and stakeholders on support performance metrics. 6. Documentation and Knowledge Sharing: o Develop and maintain comprehensive documentation for support processes, incident resolutions, and system configurations. o Conduct training sessions and knowledge-sharing workshops for the support team. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

About Fractal What makes Fractal a GREAT fit for youWhen you join Fractal, you ll be part of a fast-growing team that helps our clients leverage AI together with the power of behavioural sciences to make better decisions. We re a strategic analytics partner to most admired fortune 500 companies globally, we help them power every human decision in the enterprise by bringing analytics, AI and behavioural science to the decision. Our people enjoy a collaborative work environment, exceptional training and career development as well as unlimited growth opportunities. We have a Glassdoor rating of 4 / 5 and achieve customer NPS of 9/ 10. If you like working with a curious, supportive, high-performing team, Fractal is the place for you. How You Will Make an Impact/ Job Responsibilities: Experience: 8+ years Design, implement, and manage CI/CD pipelines using AWS/Azure/GCP DevOps tools and services. Configure and maintain build agents, release pipelines, and automation scripts for deployment processes. Utilize Infrastructure as Code (IaC) principles to automate the provisioning and management of Azure resources using tools like ARM templates or Terraform Manage and optimize source code repositories using version control systems (e.g., Git) within Azure DevOps. Implement branching strategies and code merging processes to ensure efficient collaboration among development teams. Continuous Integration: Set up and manage automated build processes to ensure the reliability and consistency of code compilation. Integrate automated testing into the CI pipeline for code quality assurance. Implement security best practices for Azure resources and ensure compliance with industry standards. Collaborate with security teams to conduct regular security assessments and address vulnerabilities. Implement monitoring solutions to track application performance and system health. Configure logging and tracing mechanisms for troubleshooting and analysis. Good communication and Problem solving skills. Experience: 8+ years Design, implement, and manage CI/CD pipelines using AWS/Azure/GCP DevOps tools and services. Configure and maintain build agents, release pipelines, and automation scripts for deployment processes. Utilize Infrastructure as Code (IaC) principles to automate the provisioning and management of Azure resources using tools like ARM templates or Terraform Manage and optimize source code repositories using version control systems (e.g., Git) within Azure DevOps. Implement branching strategies and code merging processes to ensure efficient collaboration among development teams. Continuous Integration: Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Business Information Security OfficerGurgaon , India Job Description Role Overview We are seeking a highly skilled and experienced Security GRC to join our dynamic team. The candidate will be responsible for designing, managing, and enhancing our cyber defense strategy, with a focus on risk and compliance. Key Responsibilities Governance, Risk, Compliance (GRC) and Investigations: Maintain a comprehensive GRC framework aligned with industry standards, regulatory requirements, and organisational objectives. Provide strategic direction and oversight for all aspects of governance, risk management and compliance activities in Fractal. Develop and implement policies and procedures to promote a culture of compliance across Fractal. Help business to cater security requirements from the client side related to new engagement and help to conduct risk assessments for existing business processes. Ensure that policies are effectively communicated, understood, and enforced. Conduct risk assessments to identify and prioritise risks across Fractal. Develop and implement risk mitigation strategies and controls to minimise exposure to potential threats and vulnerabilities. Conduct internal audits and assessments to evaluate the effectiveness of security controls. Collaborate to address findings and remediate any identified deficiencies. Manage external audits and compliance for certifications including ISO 27001, SOC2 type2 PCIDSS and cloud security related audits. Develop and deliver training programs and materials to educate employees on GRC policies, procedures, emerging threats, and best practices. Promote awareness of compliance requirements through regular communication and training initiatives Develop and execute comprehensive data monitoring strategy and tool to detect anomalies, unusual patterns, suspicious activities, Protect sensitive data and mitigate the risk of data loss or leakage. Lead efforts to implement fraud prevention measures, controls, and procedures to mitigate fraud risks and protect company assets. Oversee employee investigations ensuring compliance with legal and regulatory requirements. Collaborate with Legal, HR teams to address fraud and employee investigation matters. Evaluate security posture of vendors and third-party partners through due diligence assessments and establish a process for ongoing monitoring. Stay up to date and informed on developing regulatory concerns and changing IT and information security trends. Required Skills: Proven experience in managing GRC and risk management roles with at least 10 years of relevant experience. Strong knowledge on applicable information security management, governance, and compliance principles, standards, practices, laws, rules, and regulations (ISO 27001, PCI DSS, NIST, GDPR, CCPA, IT Act, etc) cyber and cloud security standard frameworks, architecture, design, operations, controls, technology, solutions, and service orchestration. Information systems auditing, monitoring, controlling, and assessment process; Risk assessment and management methodology. Detail-oriented, ability to consistently provide high-quality products that are concise, thorough and accurate. Strong attention to detail with an analytical mind and outstanding problem-solving skills. Excellent leadership, communication, and interpersonal skills with the ability to effectively engage and influence stakeholders at all levels of the organisation. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Job Responsibilities: Train machine learning and deep learning models on large scale time series datasets Develop end to end automated pipelines for use cases like inventory management, price recommendation, demand forecasting etc Use data wrangling and exploration to extract insights and relationships from the data Perform descriptive analysis and build visualizations to help customer understand what drives the business metrics Identify and measure levers to help move essential metrics and make recommendations Perform accuracy analysis to identify opportunities for performance improvement on specific slices of data and ensure high performance across all slices Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client facing teams on advanced statistical and machine learning problems Collaborate and coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes Experience Required: 5+ years of experience as a data scientist, applied scientist, data analyst, machine learning engineer or a related role Bachelors degree in Math, Physics, Statistics, Economics, Computer Science, or similar domain Experience working with demand forecasting, supply chain optimisation, driver analysis, time series analysis, statistical models, regression models and deep learning models Experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance Ability to create efficient solutions to complex problems. Strong skills in data-structures and ML algorithms Problem-solving: Ability to break the problem into small parts and applying relevant techniques to drive required outcomes Expertise in exploratory data analysis, visualisations, ETL, hypothesis testing, experimentation, automation, etc. Proficiency in Python (including packages like numpy , pandas, sklearn , pytorch , tensorflow , matplotlib), SQL and Excel Good to have Experience working in CPG, FMCG or retail industry is a plus Experience in working with Linux computing environment and use of command line tools If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Role brief: The Senior Consultant plays a vital role in providing best in class analytics delivery services. The individual will have hands-on involvement in project management, business interpretation and application of solutions, client communication and insights/results delivery. S/he will be solution owner of the project(s), single point of contact for cross-functional team and responsible for successful project delivery. S/he will collaborate with team and peers by developing resourcing plans, managing revenue goals, and contributing to new business development. Job Responsibilities Project Delivery: Being hands-on and Lead analytics delivery, guiding the team in data synthesis, modeling techniques, deriving actionable insights and helping them apply analytical techniques and frameworks. Measure client impact using metrics like NPS, innovative solutions, and KPI improvements. Make sure that all project deliverables are completed on schedule and in accordance with client s needs and expectations; and meet all compliance and regulatory requirements. Monitor project progress and handle any issues that arise. Ensure projects are delivered on time, within scope, and within budget. Talent Management: Lead a motivated team, encouraging capability development through learning and knowledge sharing. Attract, retain, and develop high-calibre talent. Client Engagement: Service Quality Assurance Communication and Reporting Support Client Relationship Management Collaboration: Work with sales, marketing, capability teams, and enabling functions to deliver higher value to clients. Participate in the sales process to scope client needs and develop solution approaches. Thought Leadership: Contribute to practice development through thought leadership and scalable solutions for business problems. Operations Management: All aspects of client facing Project Management - Project Planing and Scheduling, Staffing Management, Risk Management, Quality Management, Communication Management, Performance Management, Project Closure All aspects of internal Fractal processes related to Project Management - Project Configuration and Management, Revenue Cycle Management, Stakeholder Management: Communicate, influence, and manage stakeholders at all levels, resolving differences and achieving clear outcomes. Process Compliance: Ensure process compliance, documentation, and knowledge management. Success Profile: Proven track record in successful analytics project delivery. Preferred domain experience in Industrial, Energy, or Travel sectors. Excellent presentation skills, engaging audiences from technical to senior business stakeholder Collaborative team player, skilled in complex analysis and solution recommendations. Qualifications: Bachelors or equivalent experience in statistics, computer science, engineering, informatics, data science, or related field; additional business degree is a plus. 7+ years of relevant work experience with analytics project(s) 1 or more years of leading analytics project(s) Deep understanding of one or more solution areas of Predictive Maintenance, Operational Efficiency, Supply Chain Optimization, Energy Consumption and Efficiency, Customer Analytics, Market Analytics, Quality Control, Asset Performance Management, Environmental Impact Analysis, Demand Forecasting. Knowledge of advanced analytics and machine learning techniques. Strong project/program management skills, managing multiple work streams. Excellent problem-solving, innovation, and thought leadership skills. Outstanding presentation and communication skills. Adaptability to changing business priorities in a fast-paced environment. Exposure to Cloud, SQL, Visualization tools, and Advanced Analytics techniques preferred. Self-driven with a can-do attitude and appetite for rapid career growth. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Job Overview We are seeking a highly motivated and detail-oriented FinOps Specialist to manage the financial operations of our cloud and IT services. The successful candidate will be responsible for optimizing cloud spending, ensuring accurate budgeting, and providing actionable insights to drive financial efficiency in our technology operations. This role requires a strong understanding of financial management, cloud infrastructure, and cost optimization strategies. You will collaborate across teams, including engineering, finance, and procurement, to align cloud spend with organizational goals. Key Responsibilities Financial Management and Cost Optimization Analyze cloud and IT spending to identify trends, inefficiencies, and opportunities for cost savings. Establish and enforce budget controls for cloud usage and expenditures. Develop and manage forecasting models for cloud usage costs. Cloud Resource Management Work closely with engineering and IT teams to implement resource allocation strategies. Monitor and analyze cloud consumption metrics to ensure efficient utilization. Recommend rightsizing, reserved instance purchases, and other cost-saving measures. Reporting and Insights Create detailed financial reports and dashboards on cloud usage and costs. Provide leadership and stakeholders with actionable insights and recommendations. Ensure accurate chargeback and showback models for business units. Collaboration and Governance Partner with procurement to negotiate and optimize vendor contracts. Collaborate with engineering teams to develop cost-efficient architectures. Define and implement FinOps best practices, standards, and policies. Compliance and Risk Management Ensure compliance with company policies and regulatory requirements related to financial operations. Monitor and mitigate risks associated with cloud spending and financial operations. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Job Location: Bangalore, Mumbai, Pune, Gurgaon, Chennai, Noida, Hyderabad, Coimbatore Role Brief: You will be building curated enterprise grade solutions for GenAI application deployment at a production scale for clients. Solid understanding and hands on skills for GenAI application deployment that includes development and engineering skills. The role requires development and engineering skills on GenAI application development including data ingestion, choosing the right fit LLMs, simple and advanced RAG, guardrails, prompt engineering for optimisation, traceability, security, LLM evaluation, observability, and deployment at scale on cloud or on premise. As this space evolves very rapidly, candidates must also demonstrate knowledge on agentic AI frameworks. Candidates having strong background on ML with engineering skills is highly preferred for LLMOps role Required Qualifications: 6-10 years of experience in working on ML projects that includes business requirement gathering, model development, training, deployment at scale and monitoring model performance for production use cases Strong knowledge on Python, NLP, Data Engineering, Langchain, Langtrace, Langfuse, RAGAS, AgentOps (optional) Should have worked on proprietary and open-source large language models Experience on LLM fine tuning, creating distilled model from hosted LLMs Building data pipelines for model training Experience on model performance tuning, RAG, guardrails, prompt engineering, evaluation, and observability Experience in GenAI application deployment on cloud and on-premises at scale for production Experience in creating CI/CD pipelines Working knowledge on Kubernetes Experience in minimum one cloud: AWS / GCP / Azure to deploy AI services Experience in creating workable prototypes using Agentic AI frameworks like CrewAI, Taskweaver, AutoGen Experience in light weight UI development using streamlit or chainlit (optional) Desired experience on open-source tools for ML development, deployment, observability, and integration Background on DevOps and MLOps will be a plus Experience working on collaborative code versioning tools like GitHub/GitLab Team player with good communication and presentation skills EDUCATION: B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Participate in requirements definition, analysis, and the design of logical and physical data models for Dimensional Data Model, NoSQL, or Graph Data Model. Lead data discovery discussions with Business in JAD sessions and map the business requirements to logical and physical data modeling solutions. Conduct data model reviews with project team members. Capture technical metadata through data modeling tools. Ensure database designs efficiently support BI and end user requirements. Drive continual improvement and enhancement of existing systems. Collaborate with ETL/Data Engineering teams to create data process pipelines for data ingestion and transformation. Collaborate with Data Architects for data model management, documentation, and version control. Maintain expertise and proficiency in the various application areas. Maintain current knowledge of industry trends and standards. Required Skills Strong data analysis and data profiling skills. Strong conceptual, logical, and physical data modeling for VLDB Data Warehouse and Graph DB. Hands-on experience with modeling tools such as ERWIN or another industry-standard tool. Fluent in both normalized and dimensional model disciplines and techniques. Minimum of 3 years experience in Oracle Database. Hands-on experience with Oracle SQL, PL/SQL, or Cypher. Exposure to Databricks Spark, Delta Technologies, Informatica ETL, or other industry-leading tools. Good knowledge or experience with AWS Redshift and Graph DB design and management. Working knowledge of AWS Cloud technologies, mainly on the services of VPC, EC2, S3, DMS, and Glue. Bachelors degree in Software Engineering, Computer Science, or Information Systems (or equivalent experience). Excellent verbal and written communication skills, including the ability to describe complex technical concepts in relatable terms. Ability to manage and prioritize multiple workstreams with confidence in making decisions about prioritization. Data-driven mentality. Self-motivated, responsible, conscientious, and detail-oriented. Effective oral and written communication skills. Ability to learn and maintain knowledge of multiple application areas. Understanding of industry best practices pertaining to Quality Assurance concepts and procedures. Education/Experience Level Bachelors degree in Computer Science, Engineering, or relevant fields with 3+ years of experience as a Data and Solution Architect supporting Enterprise Data and Integration Applications or a similar role for large-scale enterprise solutions. 3+ years of experience in Big Data Infrastructure and tuning experience in Lakehouse Data Ecosystem, including Data Lake, Data Warehouses, and Graph DB. AWS Solutions Architect Professional Level certifications. Extensive experience in data analysis on critical enterprise systems like SAP, E1, Mainframe ERP, SFDC, Adobe Platform, and eCommerce systems.

This role is ideal for someone with strong technical skills in cloud computing, data engineering, and analytics, who is passionate about working with cutting-edge technologies in GCP to build robust and scalable data solutions. Key Responsibilities:Data Architecture and Design:Design and implement scalable, reliable, and high-performance data pipelines on Google Cloud.Define and implement data architecture strategies to store, process, and analyze large datasets efficiently.Create optimized schemas and ensure data structures meet business requirements.Data Pipeline Development:Build and maintain ETL (Extract, Transform, Load) pipelines using tools like Google Cloud Dataflow, Apache Beam, and Cloud Dataproc.Work with Google Cloud Storage (GCS), BigQuery, and Pub/Sub for data ingestion, storage, and analysis.Automate and orchestrate data workflows using tools such as Apache Airflow or Google Cloud Composer.Data Processing and Transformation:Develop and manage batch and real-time data processing solutions.Transform raw data into useful formats for analysis or machine learning models using BigQuery, Dataflow, or Dataproc.Collaboration:Collaborate with data scientists, analysts, and other stakeholders to understand business needs and deliver data solutions.Provide data support for machine learning and AI models, ensuring the data is clean, structured, and properly ingested.Optimization and Monitoring:Monitor and optimize the performance of data pipelines, ensuring minimal downtime and efficient use of resources.Troubleshoot data issues and resolve bottlenecks in the pipeline or storage systemsRequired Skills and Qualifications:Experience with GCP: Strong experience with GCP services like BigQuery, Google Cloud Storage (GCS), Dataflow, Dataproc, Pub/Sub, Cloud Composer, and Cloud Functions.Programming Languages: Proficient in languages such as Python, Java, or Scala for developing data pipelines and processing.ETL Tools: Experience with ETL frameworks, tools like Apache Beam, Airflow, or Cloud Data Fusion.Data Modeling and Warehousing: Understanding of data modeling, relational databases, and data warehousing concepts.SQL and NoSQL Databases: Strong proficiency in SQL, with experience in data analysis using BigQuery or other relational databases. Familiarity with NoSQL databases is a plus.Cloud Infrastructure: Knowledge of cloud architecture and infrastructure best practices on GCP.Data Analytics and BI Tools: Experience working with data visualization tools like Google Data Studio, Tableau, or Looker is a plus.DevOps Practices: Experience with CI/CD pipelines, version control systems (e.g., Git), and automated testing.Preferred Skills:Experience with containerized environments, including Docker and Kubernetes.Familiarity with machine learning tools like AI Platform on GCP.Ability to manage large datasets efficiently and design solutions that scale with growing data volumes.Education and Certifications:A bachelors or masters degree in Computer Science, Information Technology, Data Science, or a related field.Google Cloud Certified Professional Data Engineer or other relevant certifications are often preferred.

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Brief about Fractal Fractal Analytics is Leading Fortune 500 companies leverage Big Data, Analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual story-telling. The Artificial Intelligence and Machine Learning (AIML) group at Fractal Analytics is actively involved in helping Fortune 500 companies by enabling them to discover how they can leverage their data using advanced and sophisticated AI/ML algorithms for which we are looking for Data Scientists with the capability to work on independent statistical and machine learning research/ projects. If you are a problem solver with a curiosity for exploring new techniques and technologies in AIML space, then we would like to talk with you Location: Bengaluru, Mumbai, Pune Mode: Hybrid Experience: 4 to 8 yrs Demand Supply Forecast: Will refer to Salesforce and derive people forecast for every new opportunity Keep a tab on attrition and backfill requirements Gather people forecast from every account periodically and align with revenue forecast + above 2 sources Consolidate forecast and share with Staffing/Hiring/Training team periodically Participates and contributes quarterly and annual planning activity Demand - Supply Management: Tracks progress of forecast conversion to actual requirements Ensure SRs are approved only if in line with set criteria and process Will be single POC to approve and track the status of all SRs in the Practice/Capability Bench management - Will closely monitor Practice/Capability bench and move people across as per internal availability Allocation governance and optimize capacity / employee [Reducing wastage of people s capacity] by proactive allocations Track account and practice level billed utilization Work closely with Business Leads, Hiring and other teams for demand fulfilment Will work with Learning team on enabling training Supporting Project Managers to handle non-deployable people issues Work with Project Managers to identify skill gaps in existing people / required skill enhancements, consolidate need and drive trainings accordingly Work with Hiring team to strengthen contractor channel of supply - specific to Practice/Capability Identify training opportunities for new deals and proactively work with concerned teams to drive this Collaborate with capability teams for staffing related matters Other activities: Support Cross border movements / outside practice movements / movements due to mobility policy or IJP etc. Drive weekly cadence calls with Practice/Capability leadership on demand validation, fulfilment, trainings etc. Create and share regular and ad hoc reports to be shared stakeholders Drive automation in processes and reporting to enhance efficiency Governance around dept and reporting manager tagging of all Practice/Capability employees Contribute to other ad hoc initiatives / special projects for Staffing team. If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!