Job Description

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.

Who we are?

CMA CGM Group, a global leader in shipping and logistics, is transforming its cybersecurity with AI and data-driven solutions to protect its digital infrastructure across 160 countries. Led by Rodolphe Saadé, we are committed to innovation. With over 155,000 employees, including a growing team of cybersecurity experts, we offer a unique opportunity to scale your impact in a critical, high-stakes environment.

WHAT ARE YOU GOING TO DO?

As a Data & AI Engineer in our Cybersecurity team, you will design, build, and deploy AI-powered solutions to detect, analyze, and mitigate cyber threats across our global infrastructure. You will:
• Prototype & Deploy AI Solutions: Develop proof-of-concepts for cybersecurity use cases (e.g., anomaly detection, LLM-based threat intelligence analysis, cyber risk agent, automated incident response).
• LLM & Generative AI: Build RAG systems, knowledge graphs, or agentic workflows to extract for example insights from security logs, threat feeds, or internal documentation.
• Model Development: Fine-tune and deploy ML/DL models for tasks like malware classification, phishing detection, or user behavior analytics.
• Cloud & MLOps: Engineer scalable, secure AI pipelines on Azure/GCP/AWS, from data ingestion to model serving (Docker, Kubernetes, CI/CD).
• Collaborate with Security Teams: Partner with SOC analysts, threat hunters, and IT teams to translate security challenges into AI-driven solutions.
• Innovate Continuously: Research and integrate emerging AI/ML techniques (e.g., adversarial ML, federated learning) to stay ahead of evolving threats.

WHO ARE WE LOOKING FOR?

• Experience: 2+ years as a Data Engineer, AI Engineer, or similar role, with a focus on applied AI/ML (cybersecurity experience is a strong plus).
• Education: Bachelor’s or Master’s in Computer Science, Data Science, Cybersecurity, or related field.
• Programming: Strong Python skills (PyTorch, TensorFlow, scikit-learn). SQL, Java, or C++ are assets.
• AI/ML: Hands-on experience with LLMs (fine-tuning, RAG, prompt engineering), embeddings, and traditional ML/DL models.
• Cloud: Proven experience deploying AI solutions on Azure, GCP, or AWS (certifications are a plus).
• Tools: Familiarity with MLOps (MLflow, Kubeflow), APIs, Git, Docker/Kubernetes.
• Cybersecurity Awareness: Understanding of cyber threats, data privacy, and secure coding practices (experience with SIEM/EDR tools is a plus).
• Languages: Fluent English (written and spoken) is mandatory. French is a strong plus.

Why join us?

• High impact: Your models will secure global operations against evolving cyber threats.
• Innovation: Work with LLMs, Generative AI, and emerging technologies in a dynamic environment.
• Growth: Access to training, certifications, and conferences.
• Team: Join a multidisciplinary group of AI and cybersecurity experts.

Come along on CMA CGM’s adventure !