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Machine Learning and Agentic AI Manager

Kpmg India Services · Bengaluru/Bangalore, Karnataka

~₹35L (est.)8–15 yrs experienceFullTimePosted 2 days ago
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Job description

Manager - Data Science Job Description Manager -- Machine Learning \& Agentic AI Overview We are seeking an experienced Manager -- Machine Learning \& Agentic AI with 7 years of experience to join a Data \& AI practice. The ideal candidate is comfortable working on unstructured and open ‑ ended problem statements , taking ideas from business ambiguity → Machine Learning solution → MVP → production . Key Responsibilities Lead end ‑ to ‑ end delivery of Machine Learning solutions , ensuring alignment with business objectives. Work on ambiguous, unstructured problem statements , converting them into well ‑ defined ML approaches, features, and evaluation metrics. Design, build, train, and deploy Machine Learning models including supervised, unsupervised, and ensemble techniques. Scale ML solutions from experimentation to production ‑ grade systems . Apply Generative AI and Agentic AI to complement ML solutions where they add value. Build and integrate Agentic AI workflows (single ‑ agent or multi ‑ agent) for decision support, automation, or orchestration. Contribute to proposals and RFPs by defining ML ‑ and AI ‑ driven solution approaches, architectures, and delivery strategies. Support effort estimation, assumptions, risks, and dependencies for ML/AI engagements. Develop MVPs and PoCs to demonstrate feasibility, accuracy, and business value. Lead and mentor ML engineers and data scientists. Collaborate with business stakeholders, product owners, and architects to refine evolving requirements. Qualifications \& Skills Education Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or related field. Skills Strong hands ‑ on experience in Machine Learning (model development, evaluation, deployment). Strong in Python and Cloud (Azure /GCP/AWS) Solid understanding of statistics, feature engineering, and ML evaluation metrics . Experience operationalizing ML models in production. Exposure to Agentic AI frameworks such as LangChain, LangGraph, AutoGen, Google ADK, or similar. Experience Level Senior Level