AI Product Manager – Manufacturing and Quality

3 weeks ago

New Delhi, India Dr. Reddy's Laboratories Full time

Job SummaryWe are hiring a Technical AI Product Manager to lead development of AI and GenAI products focused on Manufacturing and Quality. You will work across product, ML, and engineering teams to build scalable, production-grade AI systems that improve operational efficiency, compliance, and product quality. This role requires deep technical fluency, structured product thinking, and end-to-end execution ownership.Roles and Responsibilities- Own product lifecycle from problem framing to deployment and iteration - Define clear specs with data science and engineering for ML and GenAI solutions - Lead development of RAG pipelines, prompt orchestration, fine-tuning, and evaluation workflows - Balance model performance, latency, cost, scalability, and compliance constraints - Design API-first, modular, secure product architectures - Monitor product KPIs and drive iterative improvements - Prioritize across exploratory and scalable use cases - Stay current with AI/LLM tech and translate into product capabilitiesSkills RequiredFunctional- Strong ownership with ability to structure ambiguous technical problems - Domain fluency across batch record review automation, GenAI for SOP interpretation, deviation summarization, predictive maintenance, and QA document generation - Experience working with plant ops, QA, and regulatory teams to define AI use cases with measurable impact on cycle time, compliance readiness, and process efficiency - Skilled at managing constraints around GxP, traceability, auditability, and secure deployment of AI products - Proven delivery of AI solutions in validated or regulated manufacturing environmentsTechnical- 8+ years of experience in AI & Analytics for manufacturing & quality functions - Deep knowledge of LLMs, embeddings, vector stores, and RAG architectures - Hands-on with LangChain, Pinecone, OpenAI, Azure AI, Vertex AI or similar - Proficient in evaluating model metrics like top-k accuracy, latency, precision, recall - Comfortable reviewing code, writing specs, and using Git, Postman, Jupyter

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