Salary
≈ $20k – $54k per year (Estimated)
Location
In office (Noida)
Seniority
Staff · 8+ years exp
Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Sep 19, 2026. Birlasoft scores A on the Alion truth index.
Overview
Company
Impact
Profile match
Birlasoft is an Indian IT services company, part of the CK Birla Group, that provides enterprise application implementation, cloud migration, digital engineering and data services. It works with SAP, Oracle, Salesforce and Microsoft platforms for manufacturing, life sciences, energy, utilities and financial services clients in North America, Europe and Asia. Its openings are largely for Salesforce developers and CPQ specialists in Pune, Bengaluru, Hyderabad and Noida. The company is headquartered in Noida, Uttar Pradesh, India.
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
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