AI/ML Scientist (Applied Scientist)
Core
Design, build, and maintain data-driven products and models that optimize container terminal operations, including equipment efficiency, yard positioning, and vessel sequencing.
Role type
Senior Applied Scientist (Operations Research & Machine Learning)
Builds
Real-time operational tools and strategic planning models for container terminals
Domain
Logistics / Supply Chain / Operations Research
Deliverable
production ML models | product features
Required skills
Operations Research (LP, MILP, constraint programming), Discrete Event Simulation, Statistical Modelling, Machine Learning, Python (production quality), Systems-level problem solving
Preferred skills
Container terminal operations, Port logistics, Material handling, Reinforcement Learning
Technologies
Python, PuLP, OR-Tools/CP-SAT, HiGHS, Gurobi
Responsibilities
Design and implement solutions for container handling, yard positioning, and vessel loading/unloading; Build operational tools and strategic models; Translate physical operational realities into mathematical models; Monitor model performance against physical events and handle operational drift
Seniority
Senior, hands-on IC
