Data Scientist - ML

Responsibilities:
Design, develop, and deploy machine learning and Generative AI models for real-world business problems.
Build and optimise production scheduling and planning models considering capacity, demand, constraints, and cost.
Apply mathematical optimisation techniques, including linear, integer, and metaheuristic optimisation (GA, PSO, SA, etc. ).
Use PuLP / Pyomo / OR-Tools for constraint-based optimisation problems.
Develop scalable ML pipelines and deploy models into production environments.
Collaborate with operations, supply chain, and engineering teams to translate business problems into data solutions.
Monitor model performance, retrain models, and ensure robustness in production.
Document models, assumptions, and results for stakeholder communication.
Requirements:
Experience of 4+ years with a B. Tech. in Computer Science from a Tier-I college.
Hands-on experience with Generative AI / LLMs (prompt engineering, fine-tuning, RAG, agents).
Expertise in Machine Learning and ML Engineering (model building, validation, and deployment).
Solid experience in optimisation and operations research.
Hands-on with PuLP, Pyomo, OR-Tools, or similar optimisation libraries.
Strong understanding of metaheuristic optimisation techniques.
Experience with production scheduling, planning, or supply chain optimisation.

Experience
4-7 yrs