AI Knowledge Intern: Maritime Routing & Decision Support

CMA CGM; Marseille; Sur place; EUR 12 000 - 19 000; Temps partiel

Résumé du poste

CMA CGM Fleet Center invites engineering or data science students to join as an AI-driven knowledge management intern in Marseille. You will document the Dynamic Routing ecosystem, build a knowledge base, and design governance for automated updates, while interfacing with AI agents and routing models.

You will collaborate with IT, R&D, and Fleet Center teams to translate complex routing decisions into explainable documentation and reports, contributing to real-time decision support in maritime

Qualifications

• Currently an Engineering or Master's student in Data Science, AI, CS or Applied Mathematics (in progress).
• Strong Python and data processing experience.
• Able to document, communicate and analyse complex systems.

Responsabilités

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

Connaissances

Python

Data processing

Analytical skills

Documentation skills

Communication skills

Formation

Engineering or Master's student

Description du poste

CMA CGM Fleet Center invites engineering or data science students to join as an AI-driven knowledge management intern in Marseille. You will document the Dynamic Routing ecosystem, build a knowledge base, and design governance for automated updates, while interfacing with AI agents and routing models.

You will collaborate with IT, R&D, and Fleet Center teams to translate complex routing decisions into explainable documentation and reports, contributing to real-time decision support in maritime