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AI/ML Engineer (Data Engineering + AI Focus)

A.P. Moller – MaerskBengaluru, Karnataka, IndiaPosted 16 May 2026

This role is for an AI/ML Engineer within the Global Data & Analytics team at Maersk to build data-intensive AI solutions for the logistics ecosystem. The successful candidate will design and scale data pipelines, production-grade ML systems, and deploy Generative AI applications. It requires strong expertise in Python, Spark, cloud platforms, and MLOps practices. You will work on large-scale data systems and collaborate across product and engineering teams.

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Experience

7+ years

Function

Engineering

Work mode

Onsite, India

Company

Tier 2

What you will work on

This role is for an AI/ML Engineer within the Global Data & Analytics team at Maersk to build data-intensive AI solutions for the logistics ecosystem. The successful candidate will design and scale data pipelines, production-grade ML systems, and deploy Generative AI applications. It requires strong expertise in Python, Spark, cloud platforms, and MLOps practices. You will work on large-scale data systems and collaborate across product and engineering teams.

TAL's take

Quality 65/1005/5 clarityTier 2 company

Solid role at a massive global firm with well-defined responsibilities, though slightly outside core tech-product status.

The JD is extremely well-defined with clear technical requirements, specific team context, and structured responsibilities.

Must haves

  • 7+ years of experience in data engineering and AI/ML
  • Strong programming skills in Python and SQL
  • Hands-on expertise in Spark/PySpark
  • Deep experience with cloud platforms Azure or AWS
  • Experience with MLOps frameworks like MLflow
  • Experience with containerization (Docker) and orchestration (Kubernetes)

Tools and skills

pythonsqlsparkpysparkazureawsmlopsmlflowdockerkubernetes

Nice to have: langchain, llamaindex, simulation, optimization, operations research.

About the company

Global shipping and logistics leader, but less focused on core engineering software as a product compared to Tier 1 tech companies.