Engineering Manager – AI Digital Twin & Operations Research
Core
Lead an engineering squad building AI-powered digital twins, integrated planning systems, and operations research models for vessel, yard, gate, and rail workflows to optimize terminal operations and remove waste.
Role type
Senior Engineering Manager (AI/Operations Research)
Builds
Production systems for berth scheduling, storage allocation, equipment routing, discrete event simulation, and prescriptive solvers for terminal operations.
Domain
Logistics, maritime operations, and supply chain optimization
Deliverable
production ML models
Required skills
Python, R, cloud infrastructure (AWS/Azure/GCP), MLOps, MILP, Constraint Programming, Discrete Event Simulation, predictive analytics, industrial IoT, team leadership, architecture design
Preferred skills
Background in ports, logistics, supply chain, or asset-intensive operations; understanding of maritime operations or terminal economics
Technologies
Python, R, AWS, Azure, GCP, MILP, CP, DES
Responsibilities
Lead a squad of 6–10 engineers and data scientists; own delivery of AI-powered digital twins and OR models; conduct hands-on architecture reviews and code reviews; translate operational realities into engineering requirements; build reusable components for the terminal network.
Seniority
Senior, hands-on IC with leadership responsibilities
