Internship - AI for Knowledge Management & Decision Support

American President Lines; Marseille; Sur place; EUR 12 000 - 18 000; Plein temps

Résumé du poste

CMA CGM Group is seeking an engineering or Master’s student for an internship focused on AI for knowledge management and decision support in Marseille. You will help document the Dynamic Routing ecosystem, build a searchable knowledge base, and develop an AI agent to explain routing models and assumptions.

You will collaborate with Fleet Center, IT and R&D teams to enhance transparency and traceability of routing decisions while contributing to automated reports and knowledge sheets.

Qualifications

• Currently pursuing Engineering or Master’s in Data Science, AI, CS or Applied Mathematics.
• Experience with Python and data processing is required.
• Strong written and verbal communication and documentation skills.

Responsabilités

• Document the Dynamic Routing ecosystem and centralize knowledge from multiple sources.
• Build a comprehensive inventory of information requiring documentation (data sources, ownership, dependencies, updates).
• Create a structured, searchable knowledge base for Fleet Center, IT and R&D teams.
• Define governance and automated update mechanisms for documentation.
• Design an AI agent prototype to explain models, constraints and limitations of routing decisions.
• Automate generation of explanatory route reports and knowledge sheets (assumptions, models, constraints, data sources, limitations).
• Explain routing recommendations and calculation assumptions to stakeholders.
• Support teams in understanding routing decisions.

Connaissances

Python

Data processing

Analytical skills

Formation

Engineering or Master's student in Data Science/AI/CS/Applied Mathematics

Outils

N/A

Description du poste

Internship - AI for Knowledge Management & Decision Support

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Req ID: 588448 Posting Start Date: 16/09/2026 Marseille, FRA CMA CGM Technical Shipmanagement and New Building Internship

Led by Rodolphe Saadé, the CMA CGM Group, a global leader in shipping and logistics, serves more than 420 ports around the world on five continents. With its subsidiary CEVA Logistics, a world leader in logistics, and its air freight division CMA CGM AIR CARGO, the CMA CGM Group is continually innovating to offer its customers a complete and increasingly efficient range of new shipping, land, air and logistics solutions.

Committed to the energy transition in shipping, and a pioneer in the use of alternative fuels, the CMA CGM Group has set a target to become Net Zero Carbon by 2050.
Through the CMA CGM Foundation, the Group acts in humanitarian crises that require an emergency response by mobilizing the Group’s shipping and logistics expertise to bring humanitarian supplies around the world.

Present in 160 countries through its network of more than 400 offices and 750 warehouses, the Group employs more than 155,000 people worldwide, including 4,000 in Marseilles where its head office is located.

YOUR ROLE

CMA CGM Fleet Center manages large-scale vessel routing operations, relying on multiple data sources, optimization tools, vessel performance models, operational constraints and business rules. Key knowledge is currently distributed across systems, experts, documents and databases.

You will join the Fleet Center, IT and R&D teams to develop an AI-powered solution that improves the documentation, transparency and traceability of routing decisions, covering the full Dynamic Routing ecosystem: weather data providers and forecasting models, optimization engines and routing algorithms, vessel performance models (digital twins), operational constraints and business rules, geospatial reference databases (bathymetry, Traffic Separation Schemes, environmental or regulatory zones), as well as the internal Dynamic Routing, RDT and MyRoute tools.

It is an opportunity to work on a high-impact operational use case at the intersection of generative AI, maritime routing, knowledge management and decision support.

WHAT ARE YOU GOING TO DO?

• Document the Dynamic Routing ecosystem and centralize knowledge from multiple sources.
• Build a comprehensive inventory of the information requiring documentation: data sources, ownership, dependencies and update processes.
• Build a structured, searchable and maintainable knowledge base, usable by the Fleet Center, IT and R&D teams.
• Define the governance and automated update mechanisms for the documentation.
• Design an AI agent prototype able to answer questions about the models used, the constraints considered and the known limitations of a routing recommendation.
• Develop automated generation of explanatory route reports and knowledge sheets (assumptions, models, constraints, data sources, known limitations).
• Explain routing recommendations, calculation assumptions and known limitations.
• Support the Fleet Center, IT and R&D teams in understanding routing decisions.

WHO ARE WE LOOKING FOR?

• Education: Engineering or Master's student in Data Science, Artificial Intelligence, Computer Science or Applied Mathematics, currently in progress
• Experience: with Python and data processing
• Skills: strong analytical, documentation and communication skills
• Adaptability: ability to understand complex technical systems and collaborate with multidisciplinary teams
• Strong interest in Generative AI, knowledge management and decision-support systems
• Knowledge of LLMs, RAG architectures, vector databases, knowledge graphs or AI agents
• Interest in maritime transportation, operations and optimization

Come along on CMA CGM’s adventure

Information at a Glance

Rise in motion with CMA CGM Group: where ambition meets opportunity.

Join a global team of nearly 200 nationalities, shaping the future of global trade, moving essential goods, forging newpaths, and pushing boundaries to serve an ever-changing world.

The pace is fast, the challenges are real, but the rewards are greater: growth, purpose, and thechance to make a meaningful impact. Thisis more than a job. It’s a journey on which you rise.

See how you can rise Job Alerts Link

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