AI Product Manager – Manufacturing and Quality

8 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Summary

Technical AI Product Manager


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 capabilities


Skills Required

Functional

  • 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 environments


Technical

  • 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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