Data & AI Engineer - Cybersecurity Innovation

Data & AI Engineer - Cybersecurity Innovation

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.

Responsibilities

• Prototype & Deploy AI solutions: develop proof-of-concept for cybersecurity use cases (e.g., anomaly detection, LLM-based threat intelligence, automated incident response).
• LLM & Generative AI: build RAG systems, knowledge graphs or agentic workflows to extract insights from security logs, threat feeds or internal documentation.
• Model Development: fine-tune and deploy ML/DL models for tasks such as malware classification, phishing detection or user behavior analytics.
• Cloud & MLOps: engineer scalable, secure AI pipelines on Azure, GCP or 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.

Qualifications

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

Benefits

• 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.