Data & AI Engineer - Cybersecurity Innovation

Job description:

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.