Data Scientist

Actively Reviewing

Michelin

Pune Full-Time Posted 18 hours ago · Apply by Sep 14, 2026

Job Description

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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 clear 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