Machine Learning/Operations Research Engineer
Core
Apply advanced mathematical modeling, statistical analysis, and optimization algorithms to solve complex manufacturing challenges, directly impacting factory throughput, supply chain strategies, and cost-reduction initiatives.
Role type
Machine Learning/Operations Research Engineer
Builds
Mathematical models for production optimization, simulation models acting as digital twins of assembly lines, and data fusion techniques for manufacturing intelligence.
Domain
Manufacturing Operations / Supply Chain Optimization
Deliverable
production ML models
Required skills
Mathematical modeling, Statistical analysis, Optimization algorithms, Solver usage (Gurobi, CPLEX, CP-SAT, Pyomo, GAMS), Simulation modeling (Arena, FlexSim, SimPy, AnyLogic), Machine learning (PyTorch, Scikit-learn)
Preferred skills
GenAI application building with agents, LLM and LMM development and fine-tuning, Distributed computing, Cloud infrastructure orchestration (Kubernetes, Apache Airflow, Docker, Conductor, Ray)
Responsibilities
Develop and implement mathematical models for optimization of capacity, yield, cycle times, costs, throughput, and shop-floor layout usage. Build and maintain mathematical models for simulation to act as a digital twin of assembly lines. Develop and implement data fusion techniques to integrate different operational data sources and generate actionable insights.
Seniority
Mid-Senior, hands-on IC
