Live opening · Posted 5 days ago

GEN AI Sr Lead

Birlasoft · Noida, Uttar Pradesh, India (On-site)

Linkedin No

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At a glance

The key details from the original listing.

Posted 5 days ago

CompanyBirlasoft

LocationNoida, Uttar Pradesh, India (On-site)

Work modeNo

SourceLinkedin

Listed5 days ago

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About the role

Description supplied by the original job listing.

Area(s) of responsibility
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

Work arrangement
No

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