Engineering Manager – AI Digital Twin & Operations Research

APM Terminals; Den Haag; Vor Ort; EUR 150.000 - 200.000; Vollzeit

Zusammenfassung

APM Terminals Inland Services Pvt Ltd in The Netherlands is seeking a senior leader to head an engineering squad building Operations Intelligence capabilities, including AI-powered digital twins and integrated planning systems.

You will be hands-on in architecture, review code, and translate a platform roadmap into production systems that boost ROIC across vessel, yard, gate and rail workflows. Strong leadership and cloud/AI experience are essential.

Qualifikationen

• 10+ years in software or data engineering.
• 3+ years leading engineers who ship AI/ML systems to production with measurable business impact.
• Hands-on in Python/R data science ecosystems, cloud infrastructure and modern MLOps.
• Practical experience with optimization (MILP/CP), simulation, predictive analytics or industrial IoT in logistics, manufacturing or infrastructure.

Aufgaben

• Lead a squad of 6–10 engineers and data scientists, setting priorities and delivery quality.
• Review designs, unblock engineers and make sound build decisions.
• Collaborate with product owners, operations experts and peer squads to land integrated outcomes.
• Translate roadmap into crisp sprint plans and raise risks early.

Kenntnisse

Leadership

Python/R

Cloud Infrastructure

MLOps

Optimization

Simulation

Tools

AWS

Azure

GCP

Jobbeschreibung

What is the opportunity and why should you apply?

What:

Lead an engineering squad building APMT's Operations Intelligence capability. You will own delivery of AI-powered digital twins, integrated planning systems and operations research models across vessel, yard, gate and rail workflows. You will be hands-on in architecture and code reviews, grow a high-performing team, and turn the platform roadmap into production systems that move ROIC.

Why:

This platform unifies vessel, gate, yard and rail operations into one coordinated system that integrates with the Future Execution Platform. It closes the loop from planning to execution. When OR models and digital twins predict bottlenecks and remove waste before it hits operations, that is competitive separation, and your squad builds it.

What You'll Build & Deliver

Simplify Operations: Operations Research & Mathematical Optimization

• Build MILP, Constraint Programming and stochastic optimization models for berth scheduling, storage allocation and equipment routing, the mathematical backbone of the AI Big Bet
• Apply optimization to historic terminal designs to accelerate new terminal planning and shorten time-to-revenue
• Use DES to model operational continuity during expansion projects, as volume grows and construction constrains space
• Ship prescriptive solvers that produce executable plans and recommendations, not just predictions

End-to-End Integrated Planning: Operational Digital Twin

• Extend the Discrete Event Simulation engine across vessel, gate, yard and rail to predict bottlenecks and test scenarios before they reach operations
• Build self-learning optimization engines for yard strategy, decking and container positioning
• Deliver integrated planning components that adjust in real time as vessels delay, volumes surge or equipment fails
• Build decision support tools that turn complex trade-offs into clear recommendations for operations teams

APMT Business Systems:

• Deploy AI-powered process mining to find and remove waste from berth allocation to gate release
• Build continuous benchmarking that tests terminal performance against global best practice
• Deliver dashboards that connect frontline moves to financial outcomes
• Build predictive equipment utilization and labour optimization models so terminals serve more volume with the existing asset base

Simplify Model Architecture: API-Driven Simulation & Agentic Capability

• Decompose monolithic simulation models into modular, API-accessible components that AI agents can call on demand
• Build agentic workflows that select and orchestrate simulation APIs based on operational questions, turning weeks of custom modelling into fast answers

What Makes You Right For This

Technical Foundation

• 10+ years in software or data engineering, including 3+ years leading engineers who ship AI/ML systems to production with measurable business impact
• Strong hands‑on expertise in Python/R data science ecosystems, cloud infrastructure (AWS/Azure/GCP) and modern MLOps
• Practical experience with optimization (MILP/CP), simulation, predictive analytics or industrial IoT in logistics, manufacturing or infrastructure
• Credible enough technically to review designs, unblock engineers and make sound build decisions

Business Mindset

• You understand how your team's work flows into ROIC through operational efficiency, commercial growth and concession wins
• You build reusable components, so each new DES or OR model strengthens the platform across the terminal network
• You translate operational realities into engineering requirements and explain technical trade-offs in terminal language

Leadership

• You lead a squad of 6–10 engineers and data scientists, setting priorities, running delivery and holding a high quality bar under Engineering Excellence standards
• You coach and grow your engineers, hire well and build a team that ships, learns and improves
• You work closely with product owners, operations experts and peer squads to land integrated outcomes
• You turn a defined roadmap into crisp sprint plans and raise risks early

Industry Fluency (Preferred)

• Background in ports, logistics, supply chain or asset-intensive operations
• Understanding of maritime operations, terminal economics or heavy industrial optimization

Why This Role Matters

Your squad's models and tools will help APMT win more business, run terminals more efficiently and compete on intelligence, not just scale. Every model you ship and every waste stream you remove flows directly to shareholder returns and better service for the supply chains.

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

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