GEN AI Sr Lead

Birlasoft•INDIA - NOIDA- BIRLASOFT OFFICE, IN•On-site
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About the Role

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 <div class="