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APM Terminals
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AI/ML Scientist(Operations research/Optimization/Simulation)

AI/ML Scientist(Operations research/Optimization/Simulation)

APM Terminals

5 - 10 years

14 - 19 Lacs

bengaluru

Posted:1 week ago| Platform:

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Skills Required

computer science operations research simulation machine learning resource allocation scheduling operations analytics logistics python

Work Mode

Work from Office

Job Type

Full Time

Job Description

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

Design, implement and deliver advanced simulation models and optimization solutions for terminal operations including container handling equipment efficiency, yard positioning strategies, vessel loading/unloading sequencing, and truck routing.
Develop and maintain efficient applied engineering solutions that solve real-world operational challenges at container terminals globally.
Build both operational tools for day-to-day terminal operations and strategic models for long-term planning and decision-making.
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.

To do this job, we imagine you have:

5+ years of industry experience in building and delivering simulation models, optimization solutions, or data science products.
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).
Strong experience in simulation modeling and optimization, particularly in operational environments with complex dynamics.
Research or industry experience in one or more: Discrete event simulation, Combinatorial optimization problems (e.g., scheduling, vehicle routing, bin packing, sequencing), Continuous optimization problems (e.g., linear programming, mixed-integer programming, convex programming), AI/ML methods for operational problems, Prescriptive analytics (e.g., stochastic optimization, reinforcement learning).
Experience with AI development tools and code assistants (GitHub Copilot, Cursor, Claude Code, or similar) for enhanced productivity.
Excellent record of delivery using Python and technologies like Git, JIRA, etc.
Ability to understand complex operational systems and translate business requirements into effective technical solutions.
Strong communication skills with ability to work independently with stakeholders while liaising and reviewing with the team.
Experience working with cloud environments.

Nice to have:

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 operationsExperience in material handling, manufacturing operations, or other domains involving physical asset optimization and sequencing problems.
Experience developing and interacting with generative AI models.

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AI/ML Scientist(Operations research/Optimization/Simulation)