Maritime AI for Knowledge & Decision Support Internship

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

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.