AI/ML Engineer (Data Engineering + AI Focus)

What makes this role stand out

• Lead + build – you get to manage a team and remain deeply technical (no need to choose one or the other).
• Intelligent platform – the foundation gets smarter with AI to constantly improve quality, speed, and scale.
• Broad impact – your technical decisions and code will accelerate innovation across the company, enabling many teams to create value faster.
• Global challenge, real impact – you’ll tackle complex, cross-domain problems at global scale, and see your solutions make a lasting difference.

What we’re looking for

• Deep engineering experience – strong background in data engineering, including designing and operating large-scale data and AI platforms.
• Proven leadership – you’ve managed and developed engineers while staying technical (architecture, code reviews, even coding when needed).
• Modern architecture skills – solid understanding of cloud-native data architectures, platform engineering, and best practices in building robust, scalable data systems.
• AI/ML exposure – hands-on experience with AI/ML or data science systems in production, and familiarity with MLOps / AI Ops practices to support model deployment and monitoring.
• Automation & quality mindset – experience with AI-assisted development or intelligent automation for data quality/observability.

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.

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