ML & Simulation Engineer - Emissions Optimization | Maersk
Build AI solutions that transform global logistics and reduce supply chain emissions.
Company: Maersk
Role Type: Full-time | AI/ML Engineering
About the Opportunity
Join our Global Data & Analytics team to enhance the Emissions Studio platform, helping customers optimize 20% of world trade while reducing carbon footprint.
Your Impact
As an ML & Simulation Engineer, you'll:
- Develop Optimization Models:
- Create scenario simulations for emissions vs cost trade-offs
- Implement OR techniques (linear programming)
- Build Production AI:
- Deploy ML models for logistics forecasting
- Design MLOps pipelines (Airflow/Kubeflow)
- Drive Sustainability:
- Enhance Emissions Studio dashboard
- Analyze global shipping data
What You Bring
Core Requirements
- Education: Advanced degree in CS/Data Science
- Technical Skills:
- 5+ years production Python ML (PyTorch/scikit-learn)
- Time-series forecasting expertise
- CI/CD and DevOps experience
- Problem-Solving:
- Translate business needs to technical solutions
- Explain complex models to stakeholders
Preferred Skills
- Gurobi/CPLEX optimization
- PowerBI/Streamlit dashboards
- Spark distributed computing
Why Maersk?
- Global Scale: Impact 20% of world trade
- Tech Innovation: Industrial digital transformation
- Sustainability: Real carbon reduction impact
- Benefits:
- Flexible work arrangements
- Inclusive culture
Hiring Process
- Technical Screen (Python/ML case study)
- System Design (Simulation architecture)
- Team Interview (Culture fit)
- Offer
"Connecting and simplifying global trade through AI."
Maersk is an equal opportunity employer. Accommodations available.
