Lead Data Scientist

Birlasoft; Pune District; Hybrid; INR 4,000,000 - 8,000,000; Full time

Job summary

Birlasoft is seeking a Sr Data Science Lead (GEN AI Developer) to drive GenAI initiatives across locations Noida, Pune, Mumbai, Bengaluru, Hyderabad. The candidate will lead AI/ML projects, architect end-to-end GenAI solutions, and mentor teams.

You will work on problem solving, agent development, prompt engineering, and integration with data lakes and RAG pipelines, collaborating with cross-functional stakeholders to deliver scalable, production-ready models.

Qualifications

• 8+ years in data science, AI/ML, GenAI and NLP technologies.
• Minimum 2+ years in GenAI application development.
• Proven problem solving and technical solution development.
• Experience with Agentic AI frameworks such as LangGraph, LlamaIndex, MCP.
• Expertise with paid OpenAI on Azure or Bedrock on AWS; open-source LLMs.
• Strong knowledge of RAG, Knowledge Graph RAG, and NLQ to SQL.
• Experience handling large unstructured data and data lakes.
• Ability to deploy and optimize models and consider scalability.
• Collaborate with SAs and cross-functional teams; clear business communication.
• Promote reusable components across solutions.

Skills

Data science exp

GenAI expertise

Problem solving

Python programming

Prompt engineering

Stakeholder comms

Agents development

RAG knowledge

Tools

LangGraph

LlamaIndex

MCP

Tools register

Kubernetes

Serverless

PostgreSQL

Elastic search

Marklogic

AWS

Azure

Job description

Role - Sr Data Science Lead(GEN AI Developer)

Location - Noida/Pune/Mumbai/Bengaluru/Hyderabad

Notice Period - Only Immediate joiners with be consider

• Must have 8+ years of experience. Mostly in Data science, AI ML, GenAI and NLP technologies.
• At least 2+ years in GenAI application development
• Experts in problem solving, developing technical solutions
• Must have experience with Agentic AI frameworks – LangGraph, LlamaIndex, MCP, Tools register, intent based routing etc.
• Expert in using paid (OpenAI on Azure, Bedrock in AWS) and open source LLMs, VLM, SLM etc
• Expert in RAG, CAG, Knowledge Graph RAG, RAG Fusion, Agents, MCP, NLQ to SQL etc.
• Experience in handling large unstructured (multiple file formats) and structured (data Lake) data
• DAR for applying best solution for problem statements
• Strong understanding of Agents development
• Experience with Python programming language. Should know other languages too
• Ability to develop Python code efficiently, FastAPI
• Solid understanding of Model development, model serving, training/re‑training techniques in a data sparse environment.
• Enforce reusable component development and sharing across solutions
• Experience with AWS / Azure ecosystem and development accordingly is a must. Kubernetes and other server less deployments
• Very good understanding of Prompt engineering techniques in developing Instruction based LLMs.
• Work with SAs and collaborate with cross-functional teams to identify business requirements and deliver solutions that meet the customer needs.
• Passionate to learn and stay updated with the latest advancements specially in generative AI and LLM.
• Ability to articulate to business stakeholders on the hallucination effects and various model behavioral analysis techniques followed.
• Experience developing Guardrails for LLMs both with open source and cloud native models.
• Collaborate with software engineers to deploy and optimize generative models in production environments, considering factors such as scalability, efficiency, and real-time performance.
• Experience in RDBMS database, Data Lake, Postgresql
• Experience on Marklogic / No SQL database
• Experience on Elastic search