Key highlights of the role are listed below (purely indicative and not limiting): Drive digital innovation and serve as a change agent throughout the organization Identify and prioritize digital initiatives that drive innovation, customer engagement, and operational efficiency, ensuring revenue growth and market competitiveness. Lead the development and execution of a comprehensive Digital and IT vision, ensuring technological advancements support business growth Be an evangelist, championing the use of digital technology and practices to engender a digital mindset from the top down Spearhead the development of new digital products and services to expand the organization's digital footprint and enhance customer experience. Lead design sessions and implementation teams to define, develop, and deploy digital transformation solutions that are robust, scalable, and efficient. Produce executive-level reports and presentations on project delivery, ensuring transparency and alignment with business objectives. Collaborate with senior management to align IT strategies, performance metrics, training programs, and budgets for optimal resource utilization. Align cross-functional teams to reimagine, reengineer, and implement enterprise-wide system processes, including IT infrastructure, ensuring alignment with business strategy and organizational priorities. Ensure collaboration, knowledge sharing, and digital best practices among partners and colleagues to help establish a robust digital ecosystem Measure ROI for digital projects, fine-tuning approaches as needed to ensure that were investing in the appropriate tools and resources Manage relationships with third-party vendors, system integrators, and API providers, ensuring seamless integration and high-performing digital solutions. Facilitate negotiations among stakeholders to align business needs with technical solutions, ensuring smooth project execution. Analyze the impact of proposed solutions across business units, develop use cases, and contribute a process-oriented perspective during design reviews. Regularly update key stakeholders on project status, risks, and milestones, ensuring proactive issue resolution and successful execution. Identify and integrate emerging financial technologies (FinTech), artificial intelligence (AI), blockchain, and automation to enhance operations and customer engagement. Drive the transition to a digital-first business model, focusing on seamless, omnichannel customer experiences. Enhance the customer journey by implementing AI-driven chatbots, selfservice options, and personalized recommendations. Oversee system implementation, UAT testing, and sign-offs, ensuring highquality deployments with minimal functional or performance issues. Lead change management efforts, ensuring smooth adoption of digital solutions while training teams on new technologies and workflows. Establish and maintain best practices, documentation standards, and implementation frameworks to drive consistency and efficiency. Applicants should possess the following attributes: Strong knowledge of the credit cards industry Strong Analytical and problem-solving skills with decision making ability. Strong understanding in the issuing of credit card products and the related risk, operations and controls A strong understanding of dependencies and linkages with marketing, customer service, technology and sales. Awareness of industry best practices, prevalent and emerging trends in the market and ability to inculcate industry best practices into the organization. Ability to handle large-scale complex projects with multiple stakeholders. Ability to operate successfully in a rapidly evolving environment and ability to deal with ambiguity. Excellent communication and relationship management skills. Strong networking skills within the organization and across industry forum and related agencies and authorities. Should be result oriented and must think of all aspects like business, customer, reputation, regulatory impact etc. while designing solutions Proven ability to identify, solve and prevent regulatory issues. Good Business Analysis and Consulting Skills.

Job Responsibilities 1. Understand and Participate in Establishing Requirements Gain a deep understanding of system-level requirements impacting firmware deliverables. Actively participate in the creation of firmware requirements based on system specifications. Collaborate with the broader team to define and improve system-level requirements for hearing aid firmware. Align firmware design with requirements through continuous exploration of the firmware system, review of documentation, and consultations with senior team members. 2. Design and Implement High-Quality Firmware Create designs that meet firmware requirements. At this level, the engineer is expected to solve moderate technical challenges. Senior engineers review solutions for technical sound. Document and review designs, ensuring they provide value and enhance understanding of the firmware. Apply programming knowledge (e.g., C, assembly) to implement firmware on resource-constrained hardware. Follow best practices in firmware development processes such as code reviews, design documentation, and adherence to coding conventions. Update the status of assigned tasks using established issue and project tracking software. Use version control systems to manage code effectively. Investigate, root cause, and resolve firmware issues promptly, providing feedback on potential solutions and their impact to the firmware management team. 3. Verify Firmware Functionality Support the Firmware Verification Team in developing test plans and executing tests to ensure firmware meets high-quality standards at the system level. Review test plans and provide constructive feedback. Conduct unit tests to verify the functionality of developed firmware before passing it to the verification team. Collaborate with Firmware Verification Engineers and others in R&D to identify and resolve issues. 4. Participate Effectively in Project Activities Understand and follow established organizational processes such as Advanced Development and Product Development processes. Work with the Firmware Project Sponsor/Manager to create project plans and provide work estimates for project milestones. Take proactive ownership of project assignments and follow the project management process (Scrum) for assigned projects. Communicate changes to work effort estimates and their potential impact on the project schedule. Provide updates on project activities during sprint reviews, stand-up meetings, and one-on-one meetings. Job Requirements Education and Experience: Education: Bachelors or Masters degree in Electronics and Communication, Computer Science, Embedded Technology, or a related field. Experience: 4-8 years of relevant experience with a BS degree 0-4 years of relevant experience with an MS degree Knowledge and Technical Requirements In-depth knowledge in one or more of the following domains is required: Digital Signal Processing (DSP) Real-time Signal Processing: Knowledge of hardware or embedded systems for real-time signal processing, including the use of microcontrollers, DSP chips, and FPGA. Filtering: Designing and implementing digital filters (FIR, IIR) to remove noise, smooth, or enhance signals. Knowledge of filter design tools and techniques (e.g., Butterworth, Chebyshev filters). Convolution & Correlation: Understanding how to apply these operations to signals to filter or detect patterns. Fourier Analysis: Applying Fourier transforms (FFT, DFT) to analyze signals in the frequency domain, including spectral analysis and signal reconstruction. Time-Frequency Analysis: Familiarity with techniques like Short-Time Fourier Transform (STFT) or wavelet transforms for analyzing non-stationary signals. Adaptive Filtering: Understanding algorithms that adapt their characteristics based on the signal's input, such as LMS (Least Mean Squares) and RLS (Recursive Least Squares). Signal Compression & Coding: Knowledge of data compression techniques (e.g., JPEG, MP3) for efficient transmission and storage of signals. Embedded DSP Experience in implementing DSP algorithms on embedded systems, such as using ARM, TI processors or specialized DSP hardware. Real-Time Operating Systems (RTOS): Experience with real-time operating systems, such as FreeRTOS, VxWorks, or other embedded OS, for scheduling and task management. Hardware/Software Interface: Experience interfacing with hardware components (ADC, DAC, sensors, actuators, etc.). MATLAB/Simulink: Ability to model and simulate DSP algorithms using tools like MATLAB and Simulink. Embedded Development Tools: Familiarity with IDEs (e.g., Eclipse, Keil, IAR Embedded Workbench) and debugging tools (JTAG, oscilloscopes, logic analyzers). Machine Learning (ML) & AI Integration DSP and Machine Learning: Integrating machine learning with DSP to enhance signal processing tasks such as classification, pattern recognition, and feature extraction. Deep Learning for DSP: Familiarity with neural networks, CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), GANs (Generative Adversarial Networks), and other deep learning architectures. Proficiency in using TensorFlow, PyTorch, and Keras Wireless and wired communication protocols. Firmware testing methodologies and tools Proficiency in programming languages such as C or assembly. Familiarity with scripting languages like MATLAB or Python. Understanding of analog and digital circuitry. Competencies, Skills, and Abilities Strong verbal and written communication skills. Driven, methodical, and detail oriented. Ability to work both independently and as part of a team. Proficiency in problem-solving.

Main purpose/ Responsibilities : As R&D Performance Python full stack + AI - developer , you will be responsible for developing and maintaining web applications, APIs, and connecting different platforms. Design and implement RESTful APIs and integrate databases / platforms. Work with databases such as MDM. Deploy, manage, and maintain applications on Azure cloud platforms. Develop and integrate interfaces and plugins to enhance application functionality. Implement efficient data structures and algorithms for optimal performance. Apply basic AI/ML techniques for data-driven decision-making. You need to optimize applications for maximum speed and scalability and ensure application security best practices are followed. Write clean, maintainable, and efficient code following best practices. Troubleshoot and debug issues across the entire stack Collaborate with cross-functional teams including designers, product managers, and other developers Stay current with emerging technologies and industry trends Main mission: Design, develop, and maintain both frontend and backend systems using Python-based technologies. Integrate interfaces and plugins for connecting different databases and platforms. Deploy applications on Azure cloud, developed with DevOps practices, CI/CD pipelines and Git Version controlling. Use and develop AI / ML models for decision-making. Qualifications The ideal candidate will have/be: Education : Degree or Master's degree in Computer Science/ Electronics/ Artificial Intelligence Experience: 5 years of experience in Python full-stack development. Strong proficiency in Python, with experience in Flask, or FastAPI. Hands-on experience with front-end technologies like HTML, CSS, JavaScript. Experience with API design and development using REST. Familiarity with DevOps practices, CI/CD pipelines, and Docker containerization. Knowledge of Azure cloud services. Experience with version control systems like Git. Understanding of authentication mechanisms such as JWT, OAuth, and session-based authentication. Experience in developing and integrating plugins/interfaces. Familiarity with websockets and real-time applications Strong knowledge of data structures and algorithms. Basic understanding of AI/ML models and their applications. Skills & Attributes: Advanced English Fast learner and Problem solving High level of integrity, accountability and transparency International working mindset

Responsibilities: 1. Design and Develop AI-Powered Products: Collaborate with cross-functional teams to design and develop AI-powered products that meet business requirements. Use foundational language models (e.g., BERT, RoBERTa, XLNet) and Transformer Architecture to build and train custom models for various applications. Experiment with different architectures, hyperparameters, and training techniques to optimize model performance. 2. Develop and Train Custom Models: o Develop and train custom models using large-scale datasets and state-of-theart techniques (e.g., transfer learning, few-shot learning). Fine-tune pre-trained language models for specific downstream tasks (e.g., sentiment analysis, question answering). Evaluate model performance using metrics such as accuracy, precision, recall, and F1-score. 3. Experimentation and Failure Analysis: Design and execute experiments to validate hypotheses about AI-powered product performance. Analyze results, identify areas for improvement, and propose changes to the product or solution. Collaborate with the team to implement design changes and iterate on the product development process. 4. Scaling Solutions: Develop and deploy scalable solutions that can handle large volumes of data and traffic. Optimize model performance for production environments using techniques such as model pruning, knowledge distillation, or quantization. Collaborate with infrastructure teams to ensure seamless deployment and maintenance of AI-powered products. 5. Knowledge Sharing and Collaboration: Share expertise and knowledge with colleagues through regular meetups, workshops, and blog posts. Participate in code reviews, provide feedback on peers' work, and contribute to open-source projects. Collaborate with other teams (e.g., data science, product management) to ensure alignment and effective communication. Technical Skills: o Strong foundation in deep learning, natural language processing, and computer vision. o Experience with foundational language models (e.g., BERT, RoBERTa, XLNet) and their applications. o Familiarity with popular deep learning frameworks (e.g., TensorFlow, PyTorch). o Knowledge of large-scale data storage and processing systems (e.g., Hadoop, Spark).

Key Responsibilities Tech Management & Oversight Manage and oversee all technology-related operations across the organization. Ensure smooth functionality of tech platforms, tools, and systems. Collaborate with cross-functional teams to understand and address technology needs. System Enhancement & Innovation Drive the enhancement and optimization of existing systems, tools, and workflows. Identify and implement innovative solutions to improve business processes and efficiency. Stay updated with emerging technologies and recommend relevant adoptions. Unicommerce Management Take ownership of the Unicommerce platform and ensure seamless integration with other systems. Troubleshoot issues and ensure 100% operational efficiency of order management and inventory systems. Train team members and ensure adherence to best practices. Streamlining Overall Technology Conduct regular audits of all tech systems to identify inefficiencies and implement corrective actions. Standardize processes and establish frameworks for seamless tech operations. Ensure robust documentation of all tech processes. Scalability Preparedness Build and maintain scalable systems to support business growth and expansion. Plan and implement strategies to future-proof the organizations tech stack. Monitor performance metrics and make data-driven decisions to optimize scalability. Key Skills & Competencies Strong expertise in managing technology platforms and integrations. Proficient in using and managing Unicommerce or similar systems. Strategic thinker with a problem-solving mindset. Excellent communication and collaboration skills. Ability to manage multiple priorities in a fast-paced environment. Proactive, innovative, and prepared for growth-driven challenges. Qualifications & Experience Bachelors degree in Computer Science, IT, or related field (Masters degree preferred). Minimum 5 years of experience in tech management or similar roles. Hands-on experience with Unicommerce and tech tools relevant to D2C businesses. Experience in scaling up tech systems for growing organizations is a must. Experience in AI would be an added advantage

Roles and Responsibilities - 1. Develop and implement risk mitigation strategies by identifying area of opportunity for one of the US banks 2. Work directly with Client to understand, research and provide actionable insights 3. Responsible for delivery of accurate analysis, dashboards and reports 4. Analyze large amount of data to derive business insights and create solutions 5. Ability to learn quickly an work independently with complex and unstructured initiatives Required Skills - 1. Good understanding of any one of the languages - SAS, SQL, Python and able to code in these languages. 2. Knowledge of MS Office - Excel, PowerPoint, Word 3. Experience in machine learning/ AI algorithms is a plus 4. Strong communication and interpersonal skills 5. Experience in Credit Card domain and risk analytics is mandatory Location-Remote

Job Title: Mid & Senior UiPath Business Analyst Experience: Mid 5+ & Senior 7+ Location: Bangalore, India (Hybrid 3 days in a week onsite) Shift: This will be rotational shift (UK Timings and India timings) Interview Process: Total 3 rounds (At least 1 interview with be F2F) Must Have Insurance domain experience Job Description: Identify business requirements and analyze processes to determine automation opportunities. Document and validate requirements, ensuring alignment with business goals. Propose and design automation solutions to improve efficiency and reduce manual tasks. Test and review implemented solutions to ensure they meet business needs and compliance standards Core / Must Have: Strong analytical and problem-solving skills. Proficiency in business process modeling and improvement. Ability to gather and document precise requirements. Knowledge of RPA tools (UI Path) and technologies. Knowledge of insurance industry processes. Primary / Should Have: Experience with data analysis and reporting. Understanding of project management principles. Strong stakeholder management skills. Secondary / Could Have: Familiarity with RPA, AI and API concepts. Experience with process mining tools. Knowledge of industry-specific regulations and standards

Greetings from Aptimized! We are currently hiring for the position of Gemini Code Assist Specialist Google Cloud Platform. We are looking for a professional with strong experience in network design, implementation, troubleshooting, and network security. Position Title: Gemini Code Assist Specialist – Google Cloud Platform Contract- 6 Months (Location: Hyderabad) Office Address: Mahaveer Techno Park, 4th Floor, Plot No.6, Survey No.64, Software Units Layout, HITEC City, Hyderabad, Telangana 500081 Walkin Time: 10.00 AM -1.00 PM IST Job Overview: Overview: Aptimized is seeking for a Google Gemini senior developer experienced technical professional to join our rapidly growing team. In this role, you will help to automate the CAD drawing analysis and come up with project proposal with pricing using Google Gemini assisted software development tools. You will work closely with customers to leverage Gemini , drive product adoption, and provide technical expertise to ensure their success. Key Responsibilities: Subject Matter Expertise: Lead the design of GenAI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies. Utilize Gemini product to analyze uploaded blueprint images, accurately identifying HVAC-specific symbols, dimensions, and annotations. Extract critical information from blueprints, including ductwork layouts, equipment locations, zoning, specifications, and material codes using advanced OCR. Customer Engagement: Work with customers to understand their technical needs, develop AI-assisted software development use cases, and resolve blockers in their software development lifecycle. Product Development Collaboration: Partner with product management to prioritize improvements to Gemini model, ensuring alignment with customer needs. Business Opportunity Identification: Identify and qualify business opportunities, addressing technical objections, and creating strategies to resolve them. Content Creation: Develop technical materials (e.g., best practices, tutorials, code samples, presentations) to enable customers and internal teams to make the most of Google Cloud tools. Technical Support and Consultations: Conduct product and solution briefings, proof-of-concept work, and consulting sessions to support customers in leveraging Google Gemini platform. Qualifications: Required: Proficiency in one or more programming languages/frameworks such as Python, Java, GoLang, JavaScript, TypeScript, PyTorch, and Jupyter/Colab notebooks. Experience with frameworks like Spring Boot and Model-View-Controller (MVC). Knowledge of modern software development life-cycle tools and methodologies, including IDEs, CI/CD, and container orchestration. Preferred: 5-8 years of experience in software development, and with data structures/algorithms. 3-5 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision). 3-5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Ability to create prototypes/demos and present them effectively to customers, integrating them with existing systems and processes. Proven ability to engage with C-level executives and influence decisions. Excellent consulting and communication skills, with experience in leading discovery and planning sessions to define scope and success criteria.

Position Summary: We are seeking a highly skilled and motivated Tech Lead to join our team, focusing on developing and scaling a next-generation e-commerce catalog platform with integration of cutting-edge AI technologies, including Large Language Models (LLMs). This role combines expertise in Python and optimally Java backend development, production-scale architecture, and AI/ML applications to create data-intensive soluttions for data pipelines, catalog optimization. and to power different business use cases. The ideal candidate will have a strong background in backend engineering, AI-driven solutions, and leadership. Key Responsibilities: 1. Technical Leadership and Architecture Lead the design, development, and deployment of scalable, production-grade platforms for e-commerce catalog operations. Define architectural standards for Python and Java backend systems, ensuring scalability, fault tolerance, and maintainability. Provide mentorship to the engineering team, fostering technical excellence and best practices. Drive cross-functional collaboration to align technical solutions with business goals. 2. Backend Development and Platform Scaling Build and maintain robust backend systems using Pthon or Java Spring Framework (Spring Boot, Spring Cloud). Develop APIs and microservices to handle high volumes of data in real-time with low latency. Optimize platform performance to support large-scale catalogs and global user traffic. Ensure high availability and fault tolerance for critical catalog operations. 3. AI and Machine Learning Integration Design and implement solutions leveraging Large Language Models (LLMs), such as OpenAI GPT APIs or similar frameworks. Fine-tune and optimize LLMs for performance, accuracy, and relevance in e-commerce applications. Build and maintain RAG (Retrieval-Augmented Generation) systems and vectorized databases for enhanced AI capabilities. Collaborate with data science teams to deploy AI/ML models for catalog optimization, personalization, and predictive analytics. 4. Data Engineering and Pipelines Work with data engineers to design and optimize data pipelines, ensuring the availability and quality of training datasets. Develop scalable systems to process and store large volumes of catalog data. Leverage big data technologies like Hadoop, Spark, or Kafka for efficient data processing and real-time synchronization. 5. Cloud and DevOps Deploy and manage backend services and ML models on cloud platforms like AWS, GCP, or Azure. Set up and optimize CI/CD pipelines for seamless deployments and updates. Monitor system and model performance, ensuring smooth operations and rapid troubleshooting. 6. Collaboration and Stakeholder Engagement Partner with product management, business development, and engineering teams to define platform requirements and AI/ML solutions. Communicate complex technical concepts to non-technical stakeholders effectively. Stay updated on industry trends in AI, ML, and backend development to drive innovation. Required Qualifications: Technical Skills Backend Development: 8+ years of experience in Python / Java development, including expertise in Spring Boot, microservices, and RESTful APIs. Experience in designing and scaling production-grade platforms for high-volume applications. AI/ML Expertise: Proficiency in integrating LLMs like OpenAI GPT and frameworks such as Hugging Face Transformers. Hands-on experience with TensorFlow, PyTorch, or similar tools. Data Engineering: Strong knowledge of big data technologies like Hadoop, Spark, or Kafka. Familiarity with RAG systems, vectorized databases, and retrieval-based AI. Cloud and DevOps: Proven experience with cloud platforms (AWS, Azure, GCP) and containerization tools like Docker and Kubernetes. Expertise in CI/CD pipelines and system monitoring. Professional Experience 7+ years of experience in backend development, machine learning, and NLP applications. Proven track record of delivering scalable, fault-tolerant platforms and AI-powered solutions. Soft Skills Strong leadership, decision-making, and problem-solving abilities. Excellent written and verbal communication skills. Ability to thrive in a fast-paced, collaborative environment. Preferred Qualifications Advanced certifications in machine learning, cloud computing, or AI technologies. Experience in e-commerce catalog systems, including product onboarding, search optimization, and personalization. Contributions to open-source projects or active participation in tech communities. What We Offer: A collaborative environment to work on cutting-edge AI and backend technologies. Opportunities to lead and shape the future of e-commerce catalog platforms. Competitive compensation and benefits package. Access to advanced tools and frameworks in AI, cloud, and backend development. This is your opportunity to lead the development of a state-of-the-art, AI-integrated e-commerce catalog platform. If you're ready to combine your expertise in Python or java development, architecture, and AI, we want to hear from you! Notice Period: 30 Days

Design and architect complex Generative AI solutions using AWS technologies Develop advanced AI architectures incorporating state-of-the-art GenAI technologies Create and implement Retrieval Augmented Generation (RAG) and GraphRAG solutions Architect scalable AI systems using AWS Bedrock and SageMaker Design and implement agentic AI systems with advanced reasoning capabilities Develop custom AI solutions leveraging vector databases and advanced machine learning techniques Evaluate and integrate emerging GenAI technologies and methodologies Technical Skills Advanced Python programming for AI/ML applications Deep understanding of: Large Language Models (LLMs) Machine Learning architectures AI model fine-tuning techniques Prompt engineering AI system design and integration Generative AI Technologies Expert-level understanding of: Retrieval Augmented Generation (RAG) GraphRAG methodologies LoRA (Low-Rank Adaptation) techniques Vector Database architectures Agentic AI design principles AWS AI Services Comprehensive expertise in: AWS Bedrock Amazon SageMaker AWS AI/ML services ecosystem Cloud-native AI solution design

Full-Stack Founding Engineer (Python/Django) Experience: 6 - 8 Years Exp Salary : USD 1,481-2,222 / month Preferred Notice Period : Within 30 Days Shift : 12:00PM to 9:00PM IST Opportunity Type: Remote Placement Type: Contractual Contract Duration: Full-Time, 12 Months (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : GIS, Postgres SQL, Django, Next Js, Python Good to have skills : AI, Cloud Hosting, LLMs Settle Savvy (One of Uplers' Clients) is Looking for: Co- Founder/Founding Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description Role: Co- Founder/Founding Engineer (Remote) Required Experience: 6 - 8 Years About Settle Savvy Settle Savvy is revolutionizing the US residential real estate industry by empowering home buyers with relevant, granular, neighborhood data. We are an early-stage startup with a few pilot clients and a working prototype, and were now building a production-ready app to bring our vision to life. Our culture is innovative, lean, and nimble, with a strong focus on maximizing value by leveraging the latest advancements in AI. Were looking for a talented and driven early career Software Architect to join us as the third member of our team. This is a senior role with significant responsibility, equity, and the opportunity to shape the future of our product and company. Job Responsibilities: As the Product Architect, you will take on a leadership role in designing, building, and scaling our technology stack. This is not just a development roleits an opportunity to define the technical foundation of our product and ensure its long-term success. Your responsibilities will include: Architecture Work closely with the founders, especially the lead data scientist/product manager, to align product goals, functionality, and features. Design and implement a modular, scalable, and maintainable architecture with clear separation of concerns. Make key decisions about code modularization, system integration, and long-term scalability. Development Overhaul and build upon our existing prototype to deliver a production-ready application. Set up and manage CI/CD pipelines to streamline development and deployment. Establish a robust hosting solution, ensuring scalability, security, and performance. Leverage AI tools (e.g., Cursor) to enhance development efficiency and product capabilities. Stay ahead of emerging technologies to ensure efficiency remains cutting-edge. Requirement: Were seeking a candidate who is ready to step into a higher-order role as a Software Architect, with a strong foundation in development and a vision for designing scalable systems. The ideal candidate will have: Hungry: All in. Break barriers, deliver results, and drive champion level successfor yourself and the team. Technical Expertise: Proficiency in Python (Django), Next JS, Postgres SQL and GIS. Strong understanding of system design principles, including modularization, separation of concerns, and scalability. Experience with CI/CD pipelines, containerization (e.g., Docker), cloud hosting platforms, and deploying production-ready web applications. Architectural Vision: Proven ability to design and implement scalable, maintainable, and secure architectures from the first line of code to a hosted production application. Collaboration and Communication: Ability to communicate efficiently, work independently, take ownership of tasks, and make decisions. AI Enthusiasm: Keeping up with and ready to lead the AI revolution, understands the importance of leveraging LLMs to improve development efficiency and product capabilities. What Client Offers: Equity: equity to be awarded upon successful completion of key milestones Remote Work: Work from anywhere in India, as long as you have a stable internet connection and a productive work environment. Growth Opportunity: Be part of a small, fast-growing team where your contributions will have a clear and direct impact on our collective success. What Success Looks Like: In your first 6 months, success will mean: Delivering a production-ready app. Setting up robust development pipelines and hosting infrastructure. Making sound architectural decisions that position the company for long-term success. Demonstrating ownership, independence, and the ability to collaborate effectively. Hiring Process: 1.Initial Screening: A conversation to align on goals, expectations, and fit. 2.Technical Assessment: An architecture-focused test to evaluate your ability to design scalable systems. 3.Alignment Interviews: Discussions to ensure cultural fit and alignment with the companys vision. 4.Offer: We aim to make a decision quickly and have you start as soon as possible. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Settle Savvy is revolutionizing the US residential real estate industry by empowering home buyers with relevant, granular, neighborhood data. We are an early-stage startup with a few pilot clients and a working prototype, and were now building a production-ready app to bring our vision to life. Our culture is innovative, lean, and nimble, with a strong focus on maximizing value by leveraging the latest advancements in AI. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Title: Software Engineer (Azure AI, Cognitive Services, Machine Learning, IoT) Location: Hyderabad Job Type: [Full-time] Experience Level: [Mid/Senior] Job Description: We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI, Cognitive Services, Machine Learning, and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency. Responsibilities: Develop and implement AI-driven applications using Azure AI and Cognitive Services. Design and deploy machine learning models to enhance automation and decision-making processes. Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics. Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions. Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness. Ensure best practices in cloud security, data governance, and compliance. Monitor, maintain, and troubleshoot AI and IoT solutions in production environments. Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation. Required Skills and Qualifications: Bachelors or Master’s degree in Computer Science, Engineering, or a related field. Strong experience with Azure AI, Cognitive Services, and Machine Learning. Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub, Edge, or related services. Expertise in deploying and managing machine learning models in cloud environments. Strong understanding of RESTful APIs, microservices, and cloud-native application development. Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Knowledge of cloud security principles and best practices. Excellent problem-solving skills and the ability to work in an agile development environment. Preferred Qualifications: Certifications in Microsoft Azure AI, IoT, or related cloud technologies. Experience with Natural Language Processing (NLP) and Computer Vision. Familiarity with big data processing and analytics tools such as Azure Data. Prior experience in deploying edge computing solutions.

Role Overview: We are seeking a talented and experienced Senior Mobile Developer with strong proficiency in React Native , AI technologies , LangChain , and AWS to join our team. In this role, you will be responsible for creating and maintaining high-quality, scalable, and performance-optimized mobile applications. The ideal candidate will lead the development of cutting-edge mobile applications, integrating AI-driven features and leveraging cloud infrastructure for scalability and performance. Key Responsibilities Design, develop, and maintain cross-platform mobile applications using React Native . Implement AI-driven features using frameworks like LangChain and other relevant tools. Stay up to date with developments in AI and LangChain to continue improving app features Utilize AWS services (e.g., Lambda, S3, DynamoDB, API Gateway) to build scalable and secure backend solutions. Work closely with AI engineers, backend developers, and product teams to deliver innovative solutions. Ensure optimal performance, responsiveness, and scalability of mobile applications. Write clean, maintainable, and testable code following industry best practices. Provide guidance and mentorship to junior developers, fostering a culture of innovation and learning. Contribute to technical documentation and best practices. . Required Skills & Qualifications 4+ years in mobile app development, with at least 3 years using React Native . Experience building AI-powered mobile applications or integrating machine learning models into production environments. Proven experience using AWS for cloud infrastructure, backend services, and scalable mobile app architectures. Proficiency in JavaScript , TypeScript etc Strong understanding of RESTful APIs and third-party library integration. Experience with unit testing, integration testing, and CI/CD pipelines. Strong debugging and optimization skills. Bachelors or masters degree in computer science, Information Technology, or a related field What We Offer: A supportive and collaborative work environment. Opportunities for professional growth and development. Flexible working hours and remote work options. Competitive salary and benefits package. The chance to work on exciting projects with a talented and passionate team. Opportunities for professional growth and skill development in cutting-edge fields like AI and cloud computing.

Job Role: Lead Data Scientist. Location: Bengaluru, Karnataka. Mode : Work from Office Notice Period: Immediate to 20 days. Job Description The incumbent will be part of the Predictive Analytics, Digital Analytics, Data Sciences, Advanced Visualization, Insights & Experimentation team and will report to the Manager/Senior Manager. He/she will be an individual contributor working on multiple data sciences, advanced visualization and data management initiatives across multiple companies and industries leveraging traditional and big data. The incumbent will have the unique opportunity to witness the application of analytics across multiple industry verticals. Close partnership with business and the senior leadership of multiple Tata Companies will enable a clear understanding of the business perspectives and the application of analytics for solving real business problems. Key Responsibilities: • Apply AI| ML , Deep Learning, Computer Vision, Data Mining/ Data Analysis methods using a variety of data tools, building and implementing models using algorithms and creating/ running simulations to drive optimisation and improvement across business functions • Assess accuracy of new data sources and data gathering techniques • Perform Exploratory Data Analysis, detailed analysis of business problems and technical environments in designing the solution • Apply Supervised, Unsupervised, Reinforcement Learning and Deep Learning algorithms • Apply advanced Machine Learning Algorithms and Statistics: o Regression, Simulation, Scenario Analysis o Time Series Modelling o Classification - Logistic Regression, Decision Trees, SVM, KNN, Naive Bayes o Clustering, K-Means, Apriopri o Ensemble Models - Random Forest, Boosting, Bagging o Neural Networks • Lead and manage Proof of Concepts and demonstrate the outcomes quickly • Document use cases, solutions and recommendations • Work analytically in a problem-solving environment • Work in a fast-paced agile development environment • Coordinate with different functional teams to implement models and monitor outcomes • Work with stakeholders throughout the organization to identify opportunities for leveraging organisation data and apply Predictive Modelling techniques to gain insights across business functions - Operations, Products, Sales, Marketing, HR and Finance teams • Help program and project managers in the design, planning and governance of implementing Data Science solutions Experience and Skills: • 8+ years of professional working experience in Analytics • Experience in Leading Team and Guiding through Project End to End Delivery. - Experience in Retail, Financial Services and Manufacturing • Experience using statistical packages of R, Python and Spark ML to work with data and draw insights from large data sets • Experience with distributed data/ computing tools: Hadoop, Hive, Spark, Python • Experience with SQL • Experience visualizing/ presenting data for stakeholders using matplot, ggplot or Excel or Tableau • Excellent written and verbal communication skills for coordinating across teams Education qualification: • Bachelors/ Masters in a quantitative discipline (Statistics, Econometrics, Mathematics, Engineering and Science)

We are seeking an experienced professional in AI and machine learning with a strong focus on large language models (LLMs) for a 9-month project. The role involves hands-on expertise in developing and deploying agentic systems and working with transformer architectures, fine-tuning, prompt engineering, and task adaptation. Responsibilities include leveraging reinforcement learning or similar methods for goal-oriented autonomous systems, deploying models using MLOps practices, and managing large datasets in production environments. The ideal candidate should excel in Python, ML libraries (Hugging Face Transformers, TensorFlow, PyTorch), data engineering principles, and cloud platforms (AWS, GCP, Azure). Strong analytical and communication skills are essential to solve complex challenges and articulate insights to stakeholders.

Position Summary Continuing with the tradition of innovation, MetLife, as part of its Data and Analytics function, has established a Data and Analytics (DnA) center in India. The setup of DnA center is a key multiyear strategic initiative focused on scaling business solutions using AI, data science, data governance, data engineering, business intelligence, agile project management capabilities, enabling more cost-effective analytics operating model and increasing AI maturity across the MetLife global community. Role Value Proposition: We are looking for you: high performing data and analytics professional - driven by passion and purpose, to drive quality standards and support end-to-end development of actionable, high-impact AI solutions for MetLife's enterprise functions and lines of businesses across markets. This position requires hands-on experience of developing an end-to-end Machine Learning/AI solution that can be leveraged for maximum business impact through on prem /cloud in both real time and batch mode depending upon business requirements. The role would collaborate with multiple stakeholders under the guidance of Lead/Director Data scientists to develop robust, stable, and scalable advanced analytics/machine learning solutions leveraging new age methodologies/techniques. Superior problem-solving ability, curiosity, strong coding skills and attention to detail are the key success factors. Job Responsibilities a. Hands on development and implementation of AI/ generative AI models & algorithms to solve complex problems and drive innovation across organization. b. Collaborate with Lead Data Scientist/AI product owner to translate given business problem into analytical use-cases with defined outcomes. c. Perform data exploration, machine learning models development & active collaboration with cross functional teams d. Contribute to the implementation of AI solutions to deliver business impact with focus on value, success criteria alignment, scalability, and operationalization. e. Drive best practices throughout development process, efficient coding and publish learnings/feedback for continuous learning. f. Drive innovation within teams, by enhancing existing solutions and designing new ones. Knowledge, Skills, and Abilities 3-5 years of hands-on experience in Analytics, data science or similar function Strong hands-on proficiency in any of Data Science technologies i.e., Python, PySpark, & have experience in machine learning libraries & frameworks such as Sklearn, TensorFlow. Strong hands-on expertise in traditional as well as modern statistical & ML techniques like regression, support vector machines, Regularization, Boosting, Random Forests & other ensemble methods. Good Understanding of NLP models using: Nltk, spacy, Word 2 Vec , BERT etc. Experience in technologies like Azure, AWS, and advanced analytics concepts like Simulation, Deep Learning etc. are considered as a plus. Ability to meet deadlines for product deliverables in a timely, proactive, and entrepreneurial manner. Analytical and problem-solving skills to ideate. Excellent written and verbal communication skills; ability to discuss technical issues with peers, business stakeholders and senior management. Strong conceptual and creative problem-solving skills; ability to learn new and complex concepts quickly.

Job Title: Senior Product Owner Experience: 10 + Years Location: Hyderabad Working Hours: 12.00pm to 9.00pm We are seeking an experienced Product Owner who is passionate about Data, with a strong background in Data Analytics, Statistics, and expertise in understanding Data Science, Data Analytics, Business Intelligence and Artificial Intelligence/Machine Learning (AI/ML) principles. This role is pivotal in driving AI/ML initiatives, shaping product features, and ensuring successful project delivery. Responsibilities: 1. Product Ownership: Define and prioritize features for AI/ML-driven products based on market needs and business goals. Own the product roadmap, work with business partners to ensure alignment with the overall strategic vision. 2. Data Analytics and AI/ML Expertise: Utilize data analytics and statistical knowledge to guide product decisions and improvements. Collaborate with data scientists and AI/ML engineers to understand and integrate advanced technologies into the product. 3. Agile Project Management: Work closely with development teams using Agile methodologies, providing clear and detailed requirements. Prioritize and manage the product backlog, ensuring timely delivery of features and enhancements. 4. Stakeholder Collaboration: Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to gather input and feedback. Communicate effectively with stakeholders to ensure their needs are incorporated into the product roadmap. 5. Technology Proficiency: Possess a good understanding of technologies in the AI/ML space, including Gen AI, Azure AI, Python, and other relevant tools and frameworks. Stay updated on emerging technologies in the AI/ML field and assess their potential impact on the product. 6. Quality Assurance: Work closely with quality assurance teams to ensure product features meet high standards of quality and performance. Participate in user acceptance testing and ensure product meets user expectations. Qualifications: Bachelors degree in computer science, Data Science, or a related field. Master's degree preferred. Proven experience (8+ years) as a Product Owner or similar role with a focus on AI/ML-driven products. Strong understanding of Data Analytics, Statistics, and principles of Data Science. Proficiency in Agile methodologies and project management. Experience working with AI/ML technologies, including Azure AI, Python, and related frameworks. Excellent communication and collaboration skills. Knowledge of Chemistry and waste management would be an added advantage.

Lead Machine Learning Engineer Experience: 6 - 10 Years Exp Salary : Competitive Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Hybrid (Bengaluru) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : machine learning, data science, Model Development, techincal leadership, Statistics, AI, Math Good to have skills : Deep Learning, Pytorch, TensorFlow, Natural Language Processing, LLM Training (One of Uplers' Clients) is Looking for: Senior ML Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description At HackerRank, we help over 2,500 of the most prestigious logos across industries find, hire, and upskill amazing developer talent using our SaaS-based Developer Skills Platform. We pioneered and continue to lead the developer skills market. At HackerRank, we are passionate about our mission to "Change the world to value skills over pedigree." This position is full-time and remote within India. As a Senior ML Scientist at HackerRank, you will be working closely with Engineering & Product teams to design, implement, and deliver machine learning and AI solutions. You will be a key part of developing HackerRank's Machine Learning practice across our products, with a heavy emphasis on technical & thought leadership for machine learning and AI solutions. You will be working on: Design and Develop Advanced ML Solutions: Conceive research ideas, build end-to-end models, and refine algorithms for complex business challenges. Technical Leadership and Mentorship: Guide teams on best practices, review and optimize machine learning assets such as datasets, models, and code, and foster continuous learning. Cross-functional collaboration: Work with engineers, product managers, and stakeholders to align ML initiatives with broader organizational goals and ensure seamless deployment. Strategic Planning and Thought Leadership: Shape the ML roadmap, ensure model fairness and compliance, and represent the organization at industry events. We are looking for: 7+ years of experience working on data science and machine learning applications, including 5+ years on model development A strong background in math & statistics for machine learning applications Prior experience in technical directing and mentoring junior team members to deliver large efforts Solid ability to understand business priorities and set a vision to realize them Being up to date on recent advances in machine learning, and identifying relevant papers and opportunities Ability to design and implement a modern machine learning framework and codebase for the company to operate in. Nice to have: Experience with Deep Learning and a framework such as Pytorch or Tensorflow Expertise in natural language processing techniques Expertise in training and fine-tuning LLMs Benefits & Perks: We have a full package of competitive benefits and perks, which include the following: One-time home office set up stipend Monthly Remote Work Enablement Stipend Professional Development Reimbursement Wellbeing Benefits (Headspace, etc) Flexible paid time off and paid leave for new parents Insurance for all employees (term life, personal accident, medical) along with medical insurance for their dependents Employee stock options About HackerRank: HackerRank is a Y Combinator alumnus backed by tier-one Silicon Valley VCs with total funding of over $100 million. The HackerRank Developer Skills Platform is the standard for assessing developer skills for 2,500+ companies across industries and 26.5M developers worldwide. Companies like LinkedIn, Stripe, and Peloton rely on HackerRank to objectively evaluate skills against millions of developers at every hiring process, allowing teams to hire the best and reduce engineering time. Developers rely on HackerRank to turn their skills into great jobs. Were data-driven givers who take full ownership of our work and love delighting our customers! HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: HackerRank is a technology company based in San Francisco and India that focuses on code practice, code challenges, and hiring assessments. Our website hosts competitive programming challenges in various languages for practicing coding skills. HackerRank has helped companies find skilled tech talent from their millions of registered developers. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Lead Machine Learning Engineer

About the Role We are seeking an experienced Software Architect with a strong background in designing and implementing scalable, high-performance systems. As a Software Architect you will play a key role in shaping the technical direction of our products, defining architectural best practices, and collaborating closely with cross-functional teams to deliver state-of-the-art AI-driven solutions. This is what you are responsible for Lead the architectural design and implementation of scalable, reliable, and high-performance software systems for AI, AI Compiler and edge computing applications. Collaborate with product managers, software engineers, and hardware engineers to ensure alignment of technical decisions with business objectives. Define and maintain architectural best practices, guidelines, and documentation for the software engineering team. Evaluate and recommend technologies, frameworks, and tools to optimize the performance and scalability of our solutions. Mentor and provide technical leadership to the engineering team, fostering a culture of collaboration and innovation. Participate in code reviews, design discussions, and technical roadmap planning to ensure high-quality delivery. Drive continuous improvement in system architecture and development processes to support the companys growth and evolving requirements. Necessary qualifications 8+ years of experience in software architecture, system design, and development of scalable, distributed systems. Proven experience in designing edge-based solutions, compilers, runtime, firmware. Strong programming skills in modern languages such as Python, C++ or similar language. Expertise in designing high-performance, low-latency systems for AI/ML workloads. Strong understanding of software development methodologies, DevOps practices, and CI/CD pipelines. Familiarity with hardware-software co-design, embedded systems, and edge computing solutions is a plus. Excellent problem-solving and communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Preferred qualifications Experience with AI frameworks (e.g., TensorFlow, PyTorch) and understanding of AI/ML pipelines. Knowledge of hardware accelerators (e.g., GPUs, NPUs) and optimization for low-power AI inferencing. Experience working in a fast-paced, startup environment is a plus.

Angular, NodeJS, and Python, with additional in AWS, GoLang & AI integration. APIs using Python & GoLang. Programming Languages: GoLang for backend services. AI exp in integrating AI/ML models into web or mobile applications. EST - 11PM TO 5 am IST

Job Title: Business Analyst Job Location: Bangalore Experience: 6 Years Working Mode: Hybrid 3 days onsite per week Technologies: AI, API, RPA tools, Ui Path iSource Services is hiring for one of their client for the position of Business Analyst. About the role: The qualified candidate is responsible for analyzing business needs, processes, and data to identify problems, propose solutions, and drive improvements through detailed requirements gathering, data analysis, and communication with stakeholders, ultimately ensuring projects align with organizational goals. Key Responsibilities: AI and API: Design and develop AI models (e.g., predictive analytics, recommendation systems, natural language processing) considering business goals and technical feasibility, including API integration points. RPA implementation: Identifying and implementing automated solutions for repetitive tasks within a business process using RPA tools. Data Manipulation: Data extraction, transformation, and loading using Ui Path data manipulation tools. Project management: Keep thorough records of business requirements, process models, project plans, and solution designs to facilitate project implementation and provide future reference Ui Path Platform: Expertise in Ui Path Studio, Orchestrator, and other Ui Path components. Developing automation solutions: Designing and building RPA bots using chosen RPA tools (e.g., Ui Path, Automation) Process Mining Expertise: Proficient in using process mining tools like Celonis, Disco, or Ui Path Process Mining to analyze event logs, build process models, and generate insights. Data analysis: Analyze data to identify trends, problems, and opportunities. Process modeling: Identify inefficiencies and bottlenecks in business processes. Market research: Conduct research to understand the market and competitors. Budgeting and forecasting: Create budgets and forecasts to help with decision-making. Workflow Design: Understanding of best practices for building efficient and scalable RPA workflows. Stakeholder management: Collaborate with stakeholders to understand their needs and gather detailed business requirements Testing and Debugging: Experience with testing automation processes and troubleshooting errors. Business process modeling, RPA tools (Ui Path), insurance industry expertise. Data analysis, stakeholder management, project management. AI, API concepts, process mining tools, industry regulations, experience in industry sectors. Ui Path Platform: Expertise in Ui Path Studio, Orchestrator, and other Ui Path components. RPA Development: Ability to design, develop, and deploy automated workflows using Ui Path activities. Data Manipulation: Data extraction, transformation, and loading using Ui Path data manipulation tools. Workflow Design: Understanding of best practices for building efficient and scalable RPA workflows. Testing and Debugging: Experience with testing automation processes and troubleshooting errors.

This role includes the following responsibilities and requirements: Architecture, design, development, debugging, documentation, and operation of large-scale systems designed for machine learning This includes distributed systems for data management and computation as well as web-oriented APIs and user interfaces Take pride and ownership in delivering delightful user experiences Lead other engineers and demonstrate best practices for software engineering Support and mentor junior engineers

Job Title: Senior Software Engineer Python Experience: 3-5 Years in Django, Flask, VMS, NVR)' About Kadel Labs: At Kadel Labs, we pride ourselves on being at the forefront of technological innovation, delivering cutting-edge solutions across diverse domains. We are looking for a talented and driven Python Developer to join our dynamic team and contribute to our exciting projects in video management systems and AI-driven applications. Responsibilities: Develop and maintain robust web applications using Django, Flask, and custom Python frameworks. Lead the design and implementation of Video Management Systems (VMS) and Network Video Recorder (NVR) web projects. Work extensively with video streaming technologies and protocols such as RTSP, HLS, and WebRTC. Design and integrate AI-based alert and notification systems for live and recorded video feeds. Develop APIs for real-time video processing and management functionalities. Collaborate with cross-functional teams to define, design, and deliver new features. Write clean, scalable, and well-documented code adhering to industry standards. Identify, troubleshoot, and resolve performance bottlenecks and application issues. Requirements: 3-5 years of proven experience in Python development. Strong proficiency in Django and Flask frameworks. Exposure to custom Python frameworks (preferred). Hands-on experience with video streaming protocols and technologies. Knowledge of VMS and NVR systems. Basic understanding of AI frameworks such as YOLO, OpenCV, or TensorFlow. Proficiency in version control tools like Git. Excellent communication and problem-solving skills. Nice-to-Have Skills: Experience working with 360-degree video applications. Familiarity with MediaMTX or similar streaming servers. Working knowledge of Docker, Kubernetes, and CI/CD pipelines. Why Join Kadel Labs? Opportunity to work on innovative projects in cutting-edge technologies. A collaborative and inclusive work environment. Competitive compensation and growth opportunities. Access to learning resources and professional development. If you are passionate about Python development and eager to make an impact, Kadel Labs is the perfect place for you. Join us and be a part of our exciting journey!

Job Title: Product Owner Location: Noida -59 Department: Product Management Reports To: Director Key Responsibilities: Define and communicate the product vision, strategy, and roadmap in collaboration with stakeholders. Manage and prioritize the product backlog, ensuring alignment with business objectives. Work closely with cross-functional teams, including engineering, UX/UI, marketing, and sales, to deliver high-quality SaaS solutions. Translate customer needs and business requirements into detailed user stories, epics, and acceptance criteria. Conduct market research and competitive analysis to inform product decisions. Act as the primary point of contact between stakeholders and development teams. Ensure the Agile development process is followed, participating in sprint planning, stand-ups, and retrospectives. Continuously gather feedback from users and stakeholders to improve the product. Monitor key product metrics to assess performance and drive data-driven improvements. Maintain up-to-date documentation related to product features and processes. Qualifications & Experience: Bachelor's degree in Computer Science, Business, or a related field. MBA is a plus. 5+ years of experience as a Product Owner in a SaaS-based organization. Strong knowledge of Agile methodologies (Scrum, Kanban) and product management frameworks. Experience with product management tools such as Jira, Confluence, or similar. Expertise in stakeholder management and ability to balance competing priorities. Strong understanding of SaaS business models, customer acquisition, and retention strategies. Experience with data-driven decision-making using analytics tools (Google Analytics, Tableau, Power BI, etc.). Knowledge of API integrations, cloud platform and modern software development methodologies . Familiarity with UX/UI best practices and prototyping tools (Figma, Adobe XD, InVision). Strong understanding of SQL, NoSQL databases, and data warehousing concepts. Excellent communication, leadership, and problem-solving skills. Ability to work in a fast-paced, dynamic environment and drive continuous improvement. AI hands-on Experience is must. Tools & Technologies: Product Management: Jira, Confluence, Trello Analytics & Reporting: Google Analytics, Tableau, Power BI Development & Integration: RESTful APIs, Webhooks Cloud Platforms: AWS, Azure Version Control & CI/CD: Git, GitHub, Bitbucket, Jenkins UX/UI & Prototyping: Figma, Adobe XD Database & Data Processing: SQL, NoSQL, MongoDB, PostgreSQL About Co-Founders: Abhishek Jain (Co-Founder & Director) , a postgraduate from the University of Northampton, England spearheads WebBee Global's solutions for scaling eCommerce merchants. With two decades of exposures in the area of application development, integrations and customization, he started WebBee Global in 2005. Himani Jain (Co-Founder & Director) is passionate about building a culture that fosters collaborations, creativity, and growth. She's also the Marketing Head of the company who's committed ensure the security of every individual associated with the organization in order to deliver top-quality software solutions that helps eCommerce businesses scale. Why Join Us? Opportunity to work with a growing SaaS company that is shaping the future of [industry]. A collaborative and innovative work culture. Competitive salary and benefits package. Professional growth opportunities. The biggest Opportunity is working with founders. If you are passionate about building impactful SaaS products and thrive in an Agile environment, wed love to hear from you! Apply today to join our team & Share your CV at Harshit.tripathi@webbeeglobal.com

About the Role: We are looking for a Process Excellence & Product Intelligence Lead to drive operational efficiency, AI-driven intelligence, sales channel expansion, and lead optimization across our product offerings. The ideal candidate will have experience in large-scale eCommerce platforms like Amazon, Flipkart or multi-cohort product-driven organizations like PolicyBazaar, JustDial, with a deep understanding of process optimization, AI deployment, sales enablement, and business intelligence. Key Responsibilities: Process Excellence & Optimization: Design and implement process improvement strategies to enhance operational efficiency. Utilize Six Sigma, Lean, and automation frameworks to optimize workflows. Identify process bottlenecks and deploy technology-driven solutions to improve productivity. Product Intelligence & AI Deployment: Work with product & tech teams to integrate AI/ML models for process automation, lead intelligence, and sales optimization. Leverage AI-driven insights to enhance customer segmentation, lead prioritization, and conversion rates. Drive implementation of predictive analytics, chatbots, automated lead scoring, and intelligent recommendation engines. Ensure seamless integration of AI tools across CRM, marketing automation, and sales platforms. Sales Channel Development & Optimization: Identify, evaluate, and implement new sales channels (online/offline) for customer acquisition. Work closely with the sales, marketing, and business development teams to test and scale multi-channel strategies. Deploy AI-driven tools for demand forecasting, customer segmentation, and lead nurturing. Optimize lead flow from various channels using intelligent lead-scoring mechanisms and automated follow-ups. Cross-functional Collaboration & Stakeholder Management: Partner with Operations, Product, Tech, Sales, and Data Science teams to align AI-driven intelligence and process excellence with business goals. Act as a bridge between technical teams and business functions to translate process gaps into scalable solutions. Engage with external AI solution providers to deploy the latest sales automation and lead optimization tools. Data-Driven Insights & Performance Monitoring: Define and monitor KPIs, SLAs, and process metrics to track efficiency, lead quality, and conversion success. Develop real-time dashboards and AI-powered analytics for decision-making. Conduct A/B testing on sales channels, lead management strategies, and AI-driven automation to maximize ROI. Key Qualifications & Requirements: 6+ years of experience in Process Excellence, AI Deployment, Sales Channel Expansion, and Lead Optimization roles. Prior experience in eCommerce platforms like Amazon, Flipkart, Myntra, or multi-cohort platforms like PolicyBazaar, JustDial, Paytm, or similar. Expertise in process automation, Lean Six Sigma methodologies, AI-based intelligence deployment, and business transformation. Strong understanding of CRM, AI-powered sales enablement tools, and digital lead management. Hands-on experience working with AI/ML solutions, lead filtration algorithms, chatbots, NLP models, and predictive analytics tools. Proficiency in SQL, Python, Power BI, Tableau, or other analytics-driven platforms is a plus. Exceptional problem-solving skills, analytical thinking, and stakeholder management. Interested candidates can share your resume at parul.verma@pw.live