Ml & Platform Agentic Apprentice H/F CMA CGM

YOUR ROLE

At the heart of the Group Data Science team - you will help design, build, and evaluate AIdriven solutions in an environment where agentic (LLM and tooldriven) systems are
increasingly used to automate and augment analytical workflows.

Working closely with data scientists, data engineers, and platform teams, you will support tasks such as data exploration, feature engineering, model experimentation, and result interpretation,
while also contributing to the design and testing of AI agents that assist with these activities.

You will gain handson experience with ML and data tools, agentic workflows,
and help ensure that insights and models are reliable, explainable, and usable by stakeholders across the organization.

WHAT WILL YOU DO?

As a Machine Learning & Data Science/ Agentic Platform Engineer apprentice, your responsibilities are as follows:

• Perform data exploration of internal and external data ( identify relevant sources, cleaning of data, analyze patterns, assess biases, ...)
• Define and optimize agentic workflow to answer business use cases, basically meaning you will deal with routing logic, tools selection & optimization, prompt engineering
• Create agentic pipeline to monitor existing data science model : monitor performances, automate reporting, detect anomalies or outliers .
• Optimize existing agentic pipeline to minimize the cost while maintaining high level of performances (caching , batching, model choice, ... )

WHO ARE WE LOOKING FOR?

Required

• Intern in Master's degree (Bac +5) in one of Mathematics, applied statistics, SW, Computer Science, AI, engineering discipline with strong IA or ML component.
• Fluent English, written and spoken
• Programming skills in Python( or other language suited for ML and agentic developments)
• Proficiency in office tools (Excel, PowerPoint)

Desirable

• Experience with gitlab, versioning, and CI/CD workflow is a plus.
• Interest in staying up-to-date with AI techniques and models

Come along on CMA CGM's adventure !