Data Science Engineer

Key Responsibilities:

• Design, develop, and deploy machine learning and Generative AI models for real-world business problems
• Build and optimize production scheduling and planning models considering capacity, demand, constraints, and cost
• Apply mathematical optimization techniques including linear, integer, and metaheuristic optimization (GA, PSO, SA, etc.)
• Use PuLP / Pyomo / OR-Tools for constraint-based optimization 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

Required Skills & Expertise:

• Experience of 3- 4yrs with B.tech in Computer science from Tier-I college
• Hands-on experience with Generative AI / LLMs (prompt engineering, fine-tuning, RAG, agents)
• Expertise in Machine Learning & ML Engineering (model building, validation, deployment)
• Solid experience in optimization & operations research
• Hands-on with PuLP, Pyomo, OR-Tools, or similar optimization libraries
• Strong understanding of metaheuristic optimization techniques
• Experience with production scheduling, planning, or supply chain optimization