Noida GEN AI Sr Lead INDI

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