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AI/ML Scientist(Operations Research)Maersk · India, Bengaluru, 560064
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Maersk

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AI/ML Scientist(Operations Research)

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🗓️ Posted 2026-09-23 India, Bengaluru, 560064 Full-time Hybrid ICT
💰 Salary Not shared 📊 Market ₹180,000–₹320,000/mo

About the Company

Data AI/ML (Artificial Intelligence and Machine Learning) Engineering involves the use of algorithms and statistical models to enable systems to analyze data, learn patterns, and make data-driven predictions or decisions without explicit human programming. AI/ML applications leverage vast amounts of data to identify insights, automate processes, and solve complex problems across a wide range of fields, including healthcare, finance, e-commerce, and more. AI/ML processes transform raw data into actionable intelligence, enabling automation, predictive analytics, and intelligent solutions. Data AI/ML combines advanced statistical modeling, computational power, and data engineering to build intelligent systems that can learn, adapt, and automate decisions. AI/ML Scientist (Operations research/Optimization/Simulation) 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), machin

Responsibilities

  • ● , responsible for developing and delivering advanced simulation models, optimizations and AI/ML models for container shipping
  • ● terminals. As an AI/ML Scientist, 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 simulation, optimization, data science methods, software engineering, and modern AI development tools 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.
  • ● 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:
  • ● + 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).
  • ● Excellent record of delivery using Python and technologies like Git, JIRA, etc.