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About Maersk:
Maersk, the world’s largest integrated logistics company, is transforming how goods move across continents — and at the heart of that shift is platform-led AI. Through MIDAS (Maersk Integrated Data and AI Solution), we are building an enterprise-grade data and AI foundation that powers operational intelligence, customer copilots, agent-based automation, and emissions optimization at global scale.
We’re hiring a foundational team to build our AI/ML Platform - a composable, governed, multi-tenant layer enabling enterprise-wide GenAI, RAG pipelines, and ML lifecycle management. If you’re excited to architect and scale real-time LLM infrastructure, reusable ML workflows, and agentic systems, this is your moment.
Overview:
As Lead ML Engineer, you’ll architect ML lifecycle infrastructure across MIDAS—defining scalable workflows for model training, deployment, observability, and compliance. You will establish MLOps patterns that are consistent, governed, and aligned with real-time and batch use cases.
Key Responsibilities:
- Architect model training, serving, and retraining pipelines (CI/CD for ML)
- Lead infrastructure design for model registries, feature stores, and evaluation hooks
- Build GPU-ready inference infrastructure with observability and autoscaling
- Collaborate on unified governance across ML/LLM lifecycle: versioning, lineage, retention
- Mentor engineers across ML, MLOps, and integration areas
Ideal Candidate Profile:
- 10+ years in ML engineering, platform, or data infra roles
- Deep experience with MLOps: MLflow, SageMaker, KServe, or Vertex AI
- Proven ability to scale batch and real-time ML pipelines in production
- Strong contributor to platform foundations (infra as code, observability, SLOs)
- Familiarity with hybrid ML + GenAI architectures a strong plus
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.
