Job Description

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 own the technical implementation and production of AI/ML solutions across the entire ML lifecycle: from model development and validation, through deployment and monitoring, to scaling and maintenance of production systems, while ensuring robust, reliable, and scalable AI solutions.

• Collaborate with AI Project Leads and business stakeholders to translate requirements into technical solutions
• Design, develop, and optimize machine learning models for shipping and logistics use cases
• Build robust ML pipelines for data preprocessing, feature engineering, model training, and evaluation
• Implement MLOps best practices including version control, automated testing, and continuous integration for ML workflows
• Lead production of AI/ML models, ensuring they meet enterprise-grade performance, reliability, and security standards
• Design and implement model deployment strategies including containerization, API development, and cloud-native solutions
• Build monitoring and alerting systems for model performance, data drift, and system health in production
• Establish automated retraining pipelines and model lifecycle management processes
• Mentor other team members on ML engineering best practices

• 5+ years of experience in machine learning engineering with proven track record of deploying ML models to production

• Strong programming skills in Python, with expertise in ML (TensorFlow, PyTorch, scikit-learn)

• Experience in MLOps tools and practices (MLflow, Docker, CI/CD pipelines)

• Experience in data engineering tools and technologies (Databricks, Apache Spark, SQL databases), cloud platforms (AWS, Azure) and their ML services

• Hands-on experience with model serving frameworks and API development (REST, microservices architecture)

• Knowledge of monitoring and observability tools (Grafana, ELK stack)

• Ability to translate complex technical concepts for non-technical stakeholders

• Background in shipping, logistics, or similar operational industries preferred

• Ability to work in fast-moving, global environments

• Fluency in English; additional languages advantageous

With a fleet of 313 modern container ships and a total transport capacity of 2.5 million TEU, Hapag-Lloyd is one of the world’s leading liner shipping companies. In the Liner Shipping segment, the Company has around 14,000 employees and 400 offices in 140 countries. Hapag-Lloyd has a container capacity of 3.7 million TEU – including one of the largest and most modern fleets of reefer containers. A total of 133 liner services worldwide ensure fast and reliable connections between more than 600 ports on all the continents. In the Terminal & Infrastructure segment, Hapag-Lloyd has equity stakes in 21 terminals in Europe, Latin America, the United States, India and North Africa. Around 3,000 employees are assigned to the Terminal & Infrastructure segment and provide complementary logistics services at selected locations in addition to the terminal activities.