Lead/ Senior Data Scientist (AI Engineer) _ Exp 8+ Years (Mumbai)

Role & responsibilities - You have strong software engineering fundamentals in Python (or similar languages) and hands-on experience building production-grade AI solutions. - You want to take a key role on our teams and help us deliver impactful, responsible AI capabilities into a regulated setting. - You have hands-on expertise in generative AI LLMs, prompt engineering, embeddings, vector search and Retrieval-Augmented Generation (RAG) pipelines. - You understand Agile practices like Scrum, Kanban and DevSecOps and have practical experience of at least one. - You enjoy collaborating closely with cross-functional teams product, architecture, data, risk and business to translate problems into AI solutions. - You care deeply about security, observability, governance, and responsible AI controls. - You want to actively engage with our internal AI community of practice on defining standards, frameworks and engineering excellence. - You love learning and enjoy evaluating emerging AI technologies as well as exploring areas you might not have experience with yet. - You are versatile when finding solutions and good at explaining complex AI concepts to both technical and non-technical audiences. - You are proactive and a team player within your feature team and the wider engineering community reviewing PRs, mentoring others and collaborating to create the best outcome. Role & responsibilities - You have strong software engineering fundamentals in Python (or similar languages) and hands-on experience building production-grade AI solutions. - You want to take a key role on our teams and help us deliver impactful, responsible AI capabilities into a regulated setting. - You have hands-on expertise in generative AI LLMs, prompt engineering, embeddings, vector search and Retrieval-Augmented Generation (RAG) pipelines. - You understand Agile practices like Scrum, Kanban and DevSecOps and have practical experience of at least one. - You enjoy collaborating closely with cross-functional teams product, architecture, data, risk and business to translate problems into AI solutions. - You care deeply about security, observability, governance, and responsible AI controls. - You want to actively engage with our internal AI community of practice on defining standards, frameworks and engineering excellence. - You love learning and enjoy evaluating emerging AI technologies as well as exploring areas you might not have experience with yet. - You are versatile when finding solutions and good at explaining complex AI concepts to both technical and non-technical audiences. - You are proactive and a team player within your feature team and the wider engineering community reviewing PRs, mentoring others and collaborating to create the best outcome.