IndusInd Bank - Data Scientist

Function : Business Intelligence and Analytics POSITION SUMMARY : The Data Scientist/ AI Engineer will build, and scale Generative AI solutions powered by LLMs and agentic workflows in a fast- paced environment. This role owns the end- to- end development of AI features-from prompt engineering and retrieval- augmented generation (RAG) to autonomous agents deployed in production. The AI Engineer works closely with founders, product, and engineering teams to rapidly turn ideas into production- ready GenAI solutions that deliver measurable business impact. KEY ACCOUNTABILITIES/ KEY RESPONSIBILITIES : - Build and deploy Generative AI applications using LLMs, including chat, summarization, reasoning, and content generation - Design and implement agentic AI systems with tool calling, planning, memory, and multi- step workflows - Develop RAG pipelines using embeddings, vector databases, and retrieval strategies - Own the full GenAI lifecycle : prompt engineering, fine- tuning, evaluation, deployment, and monitoring - Optimize GenAI systems for accuracy, cost, latency, and scalability - Collaborate with product and engineering teams to rapidly ship AI features - Document system behaviour, limitations, and best practices DESIRED PROFILE : Qualifications and Skills : - Bachelor's degree in Statistics, Economics, Finance, Mathematics,Computers or a related quantitative field - Engineering / MBA background from a premier institute is preferred. - Minimum 3+ years' experience - Strong proficiency in Python, cloud hyper scalars, MLOps, DevsecOps - Hands- on experience with LLMs, GenAI, or agentic AI systems, experience with agent frameworks - Solid understanding of RAG, embeddings, and transformer- based models, - Exposure to fine- tuning, LLM evaluation, or guardrail - Experience deploying AI solutions to production environments - Ability to thrive in ambiguity and take end- to- end ownership