Data Scientist

About the role

Lead the design and implementation of agentic AI workflows using LangGraph, AutoGen, LangChain, or similar frameworks. Architect and optimize scalable APIs (REST/WebSocket) for production deployment. Develop, fine-tune, and integrate large language models into enterprise applications. Deploy and maintain at least 3 GenAI/Agentic AI projects in production, ensuring reliability, scalability, and performance.

What you'll do

• Lead the design and implementation of agentic AI workflows using LangGraph, AutoGen, LangChain, or similar frameworks
• Architect and optimize scalable APIs (REST/WebSocket) for production deployment
• Develop, fine-tune, and integrate large language models into enterprise applications
• Deploy and maintain at least 3 GenAI/Agentic AI projects in production, ensuring reliability, scalability, and performance
• Integrate SQL, No-SQL, and vector databases such as Postgres, MongoDB, and ChromaDB

What you need

• 3–6 yrs of experience
• SQL
• Machine learning
• LLMs
• Python
• Deep learning
• ETL
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• MLOps
• Prompt engineering
• Data modelling
• PyTorch
• TensorFlow
• PostgreSQL