Machine Learning Operations Scientist​/Production

Our client is currently seeking a Machine Learning Operations Scientist/Production

• Graduate degree (MS or PhD) with specialization in operations research.
• Demonstrated expertise in ILP/MILP modeling, constraint programming, and solver technologies (Gurobi, CPLEX, OR Tools, Pyomo, PuLP).
• Working knowledge of machine learning, feature engineering, and model evaluation.
• Demonstrated experience in digital twin development and simulation modeling
• Demonstrated experience in operations research, optimization modeling, or production scheduling.
• Hands on experience implementing optimization models in Python, including data preparation, model construction, and solver integration.
• Ability to independently design, test, and validate new mathematical formulations.
• Experience applying OR techniques to manufacturing, supply chain, or industrial systems.
• Experience developing large scale scheduling models (job shop, flow shop, batching, resource constrained scheduling).
• Familiarity with stochastic optimization, robust optimization, or reinforcement learning for decision making.
• Strong statistical background and experience analyzing industrial/manufacturing data.