Job Title: Lead Data Scientist Location: Chennai Shift: General Experience: 8+ years About the Role We are seeking a hands-on and visionary Lead Data Scientist to design and deliver enterprise-grade Machine Learning (ML) and Generative AI solutions. This role spans the full project lifecycle from blueprint design, data workflows, and technical architecture to development, deployment, and cost estimation. As a leader, you will guide a team of data scientists and engineers, ensuring solutions are scalable, robust, and enterprise-ready. You will report directly to the Practice Head – Data Science and AI . Key Responsibilities Blueprint & Architecture: Translate business needs into logical workflows, data flows, and scalable technical architectures. Solution Delivery: Build and deploy advanced ML and GenAI solutions, including: Generative AI (document intelligence, semantic search, summarization, conversational Q&A). ML use cases (forecasting, classification, clustering, recommendation engines, anomaly detection). Model explainability, accuracy, and traceability. Deployment & Operations: Implement MLOps/GenAIOps practices, including CI/CD, monitoring, retraining, and governance frameworks. Cost & Ownership: Prepare Bills of Materials , infrastructure sizing, and total cost of ownership models for both client and internal deployments. Team Leadership: Mentor, coach, and manage a team of data scientists and engineers to deliver production-ready solutions. Stakeholder Engagement: Clearly communicate technical solutions, align deliverables with business priorities, and drive client adoption. What We Expect Experience: 8 - 12 years in Data Science/AI, with at least 3–4 years leading ML/GenAI solution delivery. Technical Skills: Strong expertise in Python , ML/AI frameworks, and LLM-based architectures. Hands-on experience with cloud platforms (AWS, Azure, GCP) . Familiarity with vector databases, RAG pipelines , and scalable data architectures. Business & Analytics: Solid foundation in BI tools, hypothesis testing, actionable insights, and making business-driven recommendations. Delivery Track Record: Proven history of taking solutions from design deployment adoption . Cost Estimation: Experience in infrastructure requirement analysis and ownership cost modeling. Education: Degree in Statistics, Mathematics, Economics, Computer Science, AI/ML, Data Science, or an equivalent quantitative discipline. Leadership & Soft Skills: Ambitious yet pragmatic leader with strong problem-solving, communication, and stakeholder management abilities.
Job Title: Data Engineer (Azure) Location: Chennai Shift Timings: 4:30 PM 2:00 AM IST Experience: 4+ years About the Role We are seeking a highly skilled and experienced Azure Data Engineer to join our team, focusing on building and maintaining scalable data pipelines and infrastructure for our U.S. healthcare payer operations. The ideal candidate will be proficient in modern data engineering practices, cloud-based platforms, and healthcare data management. This role will involve designing, developing, and optimizing data workflows to ensure secure, reliable, and high-quality data delivery across the organization. Key Responsibilities Design, develop, and optimize scalable ETL/ELT pipelines to ingest, transform, and load healthcare data from multiple sources into data warehouses/lakes. Build and maintain robust data models (e.g., star schema, snowflake schema) to support reporting, analytics, and ML initiatives. Write optimized SQL queries and Python scripts for data cleansing, validation, transformation, and automation. Ensure data integrity, quality, and governance , maintaining compliance with HIPAA and other regulatory requirements . Collaborate with data scientists, ML engineers, and business stakeholders to understand data requirements and deliver effective solutions. Monitor and troubleshoot pipeline performance, implementing enhancements for scalability and reliability . Automate workflows using orchestration tools and integrate with CI/CD pipelines . Contribute to evaluating and implementing new data tools and technologies . Maintain thorough documentation of data pipelines, models, and flows . Required Technical Skills Programming: Strong proficiency in Python (data processing, automation). Databases: Advanced SQL expertise , with hands-on experience in relational and NoSQL databases. ETL/ELT: Proven experience designing and implementing scalable pipelines. Azure Cloud: Hands-on experience with Azure Data Lake, Azure Synapse Analytics, Azure Data Factory , and related services. Containerization: Familiarity with Docker for deploying data applications. Version Control: Proficient with Git/GitHub for code management. Testing: Experience using unittest / Pytest frameworks for pipeline validation. CI/CD: Working knowledge of continuous integration and deployment in Azure environments. Data Modeling: Strong understanding of data warehousing concepts and schema design .