- Worktime Model: Only Full Time
As part of AI Hub within Data Insights & AI Department (DIA), you will lead Hapag-Lloyd's AI transformation initiatives and AI adoption. Contributing to AI implementation across our organization, you will create new business value with AI technology for shipping and logistics applications for our 17,000+ colleagues.
In short: you will build, deploy, and operate cloud-native AI/ML services on AWS with a strong focus on Python engineering, Cloud DevOps, Linux-based runtime environments, and production operations. This role is about productionalization and platform/service engineering – not about ML research, model experimentation, or leading model design.
Responsibilities
- Collaborate closely with Data Scientists and Data Engineers to productionalize processing and inferencing code, models and data products
- Collaborate with AI Project Leads and business stakeholders to translate requirements into production-ready cloud solutions
- Develop and maintain Python-based services, pipelines, and automation for AI/ML use cases
- Design, build, and operate AWS/Databricks infrastructure for AI/ML workloads
- Implement Cloud DevOps practices: CI/CD pipelines, infrastructure-as-code, automated deployments, and environment management
- Build and operate containerized workloads and API-based integrations
- Implement monitoring, alerting, and operational dashboards for service health, cost, and ML-related signals (e.g., data drift)
- Support model lifecycle operations (versioning, deployment, rollback, retraining automation) in collaboration with Data Scientists
Qualifications
- 5+ years of experience in Python engineering for production systems
- Strong AWS hands-on experience with services like VPC, EC2, S3, RDS, Lambda, CloudWatch ECS/EKS
- Proven Cloud DevOps experience: CI/CD pipelines, Git-based workflows, infrastructure-as-code (Terraform), release management
- Solid Linux skills (shell, networking basics, troubleshooting, logs/metrics, process and resource management)
- Experience with containerization and runtime operations
- Experience with Python ML libraries or eagerness to learn on those (PyTorch, scikit-learn)
- Experience with data engineering tools and technologies like Databricks, Apache Spark, SQL databases is a plusMLOps experience like MLflow, model serving, monitoring concepts is a plus
- Ability to translate complex technical concepts for non-technical stakeholders
- Ability to work in interdisciplinary team of various AI competencies
- Fluency in English
About Us
Hapag-Lloyd is one of the world’s leading liner shipping companies, connecting businesses and people across more than
600 ports worldwide. With a fleet of over
300 modern container ships and a
vessel capacity of 2.5 million TEU, we keep global trade moving reliably every day.
Our global network spans
140 countries,
400 offices, and a growing portfolio of terminal and infrastructure investments. This scale enables us to deliver consistent, high‑quality service across continents and to support our customers in even the most complex supply chains.
When you join us, you become part of
more than 18,000 colleagues working across borders, functions, and cultures, to not only to deliver quality for our customers, but to create innovation and opportunities across roles, regions, and perspectives.
We believe that every exploration is a chance to grow, and every port is a place to belong.
Your Journey, Our Horizon
