Data Scientist Data Scientist - - - - - - - - - - - - MISSION: The GenAI Data Scientist designs, builds, evaluates, and deploys Generative AI solutions, with strong focus on GenAI agents and agentic workflows.

He/she is responsible for

Understanding business needs and converting them into GenAI agent use cases Building GenAI agents using LangGraph or similar agentic frameworks Designing workflows with tool calling, routing, memory, state management, guardrails, and human escalation Connecting agents with enterprise data, APIs, databases, applications, and automation tools Building and optimizing RAG knowledge stores when knowledge retrieval is required Developing clean, modular, scalable, and deployment-ready Python code Evaluating agents for accuracy, reliability, hallucination risk, latency, cost, and user experience Working with data, platform, and software engineering teams to move GenAI solutions to production KEY EXPECTED ACHIEVEMENTS:





Business need is translated into a transparent GenAI agent solution Agent architecture, workflow, tools, memory, prompts, and guardrails are designed and documented Agentic workflows are built, tested, and optimized using LangGraph or similar frameworks RAG knowledge stores are implemented and optimized when required Python code is modular, testable, maintainable, and production-ready The solution is deployed with logging, monitoring, error handling, access control, and cost control Results, limitations, risks, and usage guidelines are clearly presented to business and technical stakeholders Source code, prompts, configuration, and documentation are delivered * Peer reviews are organized to ensure quality, scalability, and reliability Experience Level Senior Level

📌 Senior Data Scientist - Generative AI Specialist (Pune)
🏢 Michelin India Private
📍 Pune