AI/ML Engineer (Data Engineering + AI Focus)

Design and maintain data models (batch and streaming) that support analytics, reporting, and AI use cases.

Ensure data quality, governance, and observability across pipelines and ML systems.

Optimize infrastructure and workloads for cost, scalability, and performance, including efficient use of compute and storage.

Collaborate with engineering teams to deploy solutions using containerization and orchestration (Docker, Kubernetes).

Mentor junior engineers and contribute to engineering excellence through code reviews and best practices.

We are looking for:

7+ years of experience across Data Engineering and AI/ML engineering in production environments.

Strong programming skills in Python and SQL, with hands-on expertise in Spark/PySpark for large-scale data processing.

Deep experience with cloud platforms (Azure or AWS), including services for data engineering, ML, and distributed systems (e.g., Databricks, Synapse, EMR, S3, ADF, etc.).

Hands-on experience in building and deploying scalable data pipelines and ML systems.

Strong understanding of data modeling (data lakes, lakehouse, warehouse, medallion architecture).

Experience with MLOps frameworks (e.g., MLflow) and production model lifecycle management.

Practical experience with LLMs / Generative AI applications, including RAG, document processing, or workflow automation.

Experience with containerization (Docker) and orchestration (Kubernetes).

Strong understanding of system design, scalability, and cost optimization in cloud environments.

Experience with data quality, observability, and monitoring frameworks.

Ability to translate business problems into scalable technical solutions with measurable impact.

Prior experience in logistics, supply chain, or operations is a plus.

Experience in simulation, optimization, or operations research is an added advantage.

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.

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