Senior Operations Research Engineer

A.P. Moller - Maersk; Bengaluru; On-site; INR 3,800,000 - 6,000,000; Full time

Job summary

A.P. Moller - Maersk in Bengaluru seeks a Senior AI/ML Scientist (IC) to design and implement advanced optimization and ML-driven solutions for terminal operations, including yard, vessel, and equipment scheduling.

You will lead development, collaborate with product and operations teams, and mentor junior engineers while applying OR/optimization techniques and simulation to improve efficiency and business value.

Qualifications

• PhD or MSc in Operations Research, Industrial Engineering, Machine Learning, Statistics, Applied Mathematics, Computer Science, or related field.
• 5+ years of industry experience delivering optimization solutions.
• Experience implementing optimization modelling in Python across solvers such as PuLP, OR-Tools/CP-SAT, HiGHS, Gurobi.

Responsibilities

• Lead the design, implementation and delivery of advanced optimization solutions for terminal operations including container handling equipment efficiency, yard positioning strategies, vessel loading/unloading sequencing, and truck routing.
• Build operational tools for day-to-day terminal operations and strategic models for long-term planning and decision-making.
• Coach and mentor junior team members in optimization techniques and operations research methodologies.
• Collaborate with stakeholders to understand terminal dynamics and translate needs into value-adding products.
• Communicate model rationale, results and insights with product teams, leadership and business stakeholders for production deployment.
• Analyze data, measure value delivered, and continuously improve models for greater impact.
• Validate and iterate on optimization solutions against discrete event simulation models of terminal operations.
• Contribute to system architecture and design for new features.

Skills

Optimization modelling

Python programming

Operations Research

LP MILP CP-SAT

Scheduling & Routing

Leadership

Data analysis

Discrete Event Simulation

Stakeholder collaboration

Education

PhD or MSc in OR/IE/ML/Statistics/Applied Math/CS

Tools

PuLP

OR-Tools/CP-SAT

HiGHS

Gurobi

Job description

Senior AI/ML Scientist(IC) (Operations Research/Optimization)

A.P. Moller - Maersk
A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains.

Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too.

The team - who are we:

We are an ambitious team with the shared passion to use data, data science (DS), machine learning (ML), advanced simulation, optimization and engineering excellence to make a difference for our customers.

We are a team, not a collection of individuals. We value our diverse backgrounds, our different personalities and strengths & weaknesses. We value trust and passionate debates. We challenge each other and hold each other accountable. We uphold a caring feedback culture to help each other grow, professionally and personally.

We are now seeking a new team member who is excited about developing advanced optimization algorithms, simulation models and AI/ML solutions that create operational insights for container shipping terminals worldwide, helping them optimize container handling, yard operations, vessel operations, and drive efficiency and business value.

Your Impact

You will be part of the APM Terminals technical team. As a Senior Operations Research Engineer, you will have a leading role in designing, building, maintaining, and iterating on products that directly impact terminal operations.

This position offers a unique opportunity to develop and apply your deep knowledge of operations research methods to create operational and strategic insights that are transforming container terminal operations globally.

This is an exciting time to join a growing and dynamic team that solves some of the toughest problems in terminal operations and builds the future of container shipping. We offer a unique opportunity to impact global trade via world-leading container terminals. We focus on our people and the right candidate will have broad possibilities to further develop competencies in an environment characterized by change and continuous progress.

Key Responsibilities

• Lead the design, implementation and delivery of advanced optimization solutions for terminal operations including container handling equipment efficiency, yard positioning strategies, vessel loading/unloading sequencing, and truck routing.
• Build both operational tools for day-to-day terminal operations and strategic models for long-term planning and decision-making.
• Coach and mentor junior team members in optimization techniques and operations research methodologies.
• Work with relevant stakeholders to understand terminal operational dynamics and business processes, incorporating their needs into products to enhance value delivery.
• Collaborate and communicate model rationale, results and insights with product teams, leadership and business stakeholders to roll out solutions to production environments.
• Analyse data, measure delivered value, and continuously evaluate and improve models to increase effectiveness and operational impact.
• Validate and iterate on optimization solutions against discrete event simulation models of terminal operations,
• System design, architecture, and solution design for new features.

What you bring:

• 5+ years of industry experience in building and delivering optimization solutions
• PhD or M.Sc. in Operations Research, Industrial Engineering, Machine Learning, Statistics, Applied Mathematics, Computer Science, or other field related to algorithms and data (or equivalent experience).
• Depth in optimization modelling — LP, MILP, constraint programming, and/or metaheuristics, applied to problems like scheduling, sequencing, routing, bin packing, and resource allocation.
• Fluency implementing these in Python across open-source and commercial solvers (e.g. PuLP, OR-Tools/CP-SAT, HiGHS, Gurobi).
• Experience developing optimization models for stochastic operational environments, and evaluating them against simulation.
• Track record of delivering production-quality Python.
• Ability to understand complex operational systems and translate business requirements into effective technical solutions.
• Experience in leading technical work, coaching junior colleagues, and driving projects from concept to delivery.

A strong plus:

• Experience in container terminal operations, port logistics, or similar operational environments with complex resource allocation and scheduling dynamics.
• Familiarity with container handling equipment, yard operations, or vessel operations. Experience in material handling, manufacturing operations, or other domains involving physical asset optimization and sequencing problems.
• Discrete Event Simulation, AI/ML methods for operational problems, Prescriptive analytics (e.g., stochastic optimization, reinforcement learning).
• Experience developing and interacting with generative AI models.

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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