ML Ops Scientist: AI, Optimization & Scheduling

The Judge Group, INC.; Muskegon (MI); On-site; USD 90,000 - 130,000; Full time

Job summary

The Judge Group, INC. seeks a Machine Learning Operations Scientist/Production to advance optimization-driven decisions. The role emphasizes ILP/MILP modeling, simulation, and integration of solver technologies within production systems.

Qualified candidates have graduate OR training, hands-on Python optimization, and experience applying OR techniques to manufacturing and scheduling scenarios. A strong statistical background is a plus for data-driven evaluation.

Qualifications

• MS or PhD with specialization in operations research.
• Strong background in ILP/MILP and constraint programming is required.
• Experience with solver technologies (Gurobi, CPLEX, OR Tools, Pyomo, PuLP).
• Working knowledge of machine learning, feature engineering, and model evaluation.
• Experience with digital twins and simulation modeling is preferred.
• Expertise in OR applications to manufacturing, scheduling, or production systems.

Skills

ILP/MILP modeling

Constraint programming

Solver technologies

Machine learning

Feature engineering

Model evaluation

Digital twin development

Operations research scheduling

Python optimization

Stochastic/Robust/RL methods

Statistical analysis

Education

Graduate degree in OR (MS/PhD)

Tools

Gurobi

CPLEX

OR-Tools

Pyomo

PuLP

Job description

The Judge Group, INC. seeks a Machine Learning Operations Scientist/Production to advance optimization-driven decisions. The role emphasizes ILP/MILP modeling, simulation, and integration of solver technologies within production systems.

Qualified candidates have graduate OR training, hands-on Python optimization, and experience applying OR techniques to manufacturing and scheduling scenarios. A strong statistical background is a plus for data-driven evaluation.