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 openended problem statements, taking ideas from business ambiguity Machine Learning solution MVP production.
Qualifications & Skills
Education
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or related field.
Skills
Strong handson 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.
Key Responsibilities
Lead endtoend delivery of Machine Learning solutions, ensuring alignment with business objectives.
Work on ambiguous, unstructured problem statements, converting them into welldefined 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 productiongrade systems.
Apply Generative AI and Agentic AI to complement ML solutions where they add value.
Build and integrate Agentic AI workflows (singleagent or multiagent) for decision support, automation, or orchestration.
Contribute to proposals and RFPs by defining ML and AIdriven 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.
