Lead Hapag-Lloyd's AI transformation initiatives and AI adoption. Design, develop, and optimize machine learning models for shipping and logistics use cases. Collaborate with AI Project Leads and business stakeholders to translate requirements into technical solutions.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
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)
Looking to advance your Devops career with relocation support? Explore Devops Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.
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
Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
One of the goals of Hapag-Lloyd strategy, is to become more agile in the way we work and to create an environment in which we can make faster and innovative decisions. Knowledge Center in Gdansk enables the further accelerated growth, especially in the area of developing innovative digital solutions, agility and business centricity. To learn more, please check our website - https://knowledgecenter.pl/Â
We offer:
- Private medical care (Medicover)
- Gym card (Multisport)
- Attractive annual bonus up to 22,5% (depending on company performance results)
- Group life insurance and employee capital plan (PPK)
- Cafeteria benefit system (cinema tickets, vouchers etc.)
- Focus on healthy lifestyle (fruit days, bike competitions, football training)
- Charity and volunteer initiatives
- Modern and well-connected office (Alchemia complex in Gdańsk Oliwa)
- Relocation support (financial support, covering immigration process and polish-language lessons for non-Polish citizens)
- Internal learning management system
- Development budget (sharing the costs of certifications and conferences/ IT events)
- Flexible working hours and home office possibility (hybrid work model)
Similar Jobs
Explore other opportunities that match your interests
DevOps Engineering Manager
CD PROJEKT RED
Senior Cloud Engineer
Bayer
Senior Cloud Engineer - System Integration Platform