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AI/ML Engineer (GenAI) 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.
We are an ambitious team with a shared passion for harnessing data, Generative AI, data science (DS), machine learning (ML), advanced simulation, optimization, and engineering excellence to create meaningful impact for our customers and operations worldwide.
We are a team, not a collection of individuals. We value our diverse backgrounds, perspectives, and strengths. We foster trust, constructive challenge, and thoughtful debate. We hold one another accountable and cultivate a strong feedback culture that supports both professional growth and personal development.
We are now seeking a Generative AI Scientist who is excited about designing and building intelligent AI systems, including LLM-powered applications, agentic frameworks, and advanced ML solutions, that enhance operational intelligence, automate complex workflows, and generate actionable insights for container terminals globally, helping optimize yard flows, vessel operations, and decision-making to drive efficiency and measurable business value.
You will be part of the APM Terminals team within Global Data & Analytics (GDA), responsible for developing and delivering enterprise-grade Generative AI systems that power intelligent decision-making across container shipping terminals. As a Generative AI Scientist, you will play a leading role in designing, building, scaling, and continuously improving AI products that directly impact terminal operations and operational efficiency.
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This position offers a unique opportunity to apply your expertise in large language models, Retrieval-Augmented Generation (RAG), agentic AI frameworks, semantic search, and modern AI engineering practices to create solutions that automate complex workflows, enhance operational intelligence, and generate actionable insights for global terminal operations.
This is an exciting time to join a growing and dynamic team tackling some of the most complex challenges in terminal operations and shaping the future of AI-enabled global trade infrastructure. We place strong focus on our people, and the right candidate will have broad opportunities to deepen their capabilities in AI system architecture, evaluation science, production deployment, and scalable AI platform design within an environment defined by innovation, collaboration, and continuous progress.
5+ years of industry experience building and deploying production-grade AI/ML systems, with strong hands-on experience in Generative AI systems.
PhD or M.Sc. in Machine Learning, Computer Science, Applied Mathematics, Statistics, Engineering, or related quantitative discipline (or equivalent practical experience).
You have practical experience working with:
Large Language Models (LLMs) and Transformer architectures
Retrieval-Augmented Generation (RAG) systems
Embedding-based semantic search
Prompt engineering and structured reasoning workflows
AI agents or tool-integrated LLM systems
You understand how to evaluate model outputs for reliability, faithfulness, performance, and cost efficiency in real-world environments.
You are a programmer first with a proven track record of writing production-grade code.You possess deep proficiency in Python and standard software engineering practices including:
Object-Oriented Programming
Design patterns
Unit testing and validation
Version control
Maintainable and scalable system design
Experience working with:
Cloud environments
CI/CD pipelines
Containerization (Docker)
Monitoring and performance tracking
You are comfortable delivering solutions in fast-paced, agile environments.
Experience with vector databases and semantic indexing platforms
Exposure to AI observability and governance practices
Domain experience in logistics, scheduling, or operational optimization environments
Experience integrating GenAI systems with optimization or simulation 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.
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com .
Global integrated container logistics and shipping company.
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