AI/ML Security Engineer

AI/ML Security Engineer.

Location: #Paris.
Salary: Competitive.
Employer: BlackFluoAI.

Responsibilities:
• Develop and operationalize AI/ML models for anomaly detection, threat intelligence analysis, and automated incident response;
• Analyze large volumes of log and telemetry data to detect patterns indicative of cyber threats;
• Integrate ML-driven detection with SIEM, SOAR, and XDR platforms to improve automation and speed of response;
• Implement controls to protect AI pipelines from manipulation, including input validation, data sanitization, and model monitoring;
• Identify and mitigate threats such as data poisoning, model inversion, adversarial examples, and membership inference;
• Evaluate ML models for robustness, fairness, and explainability from a security perspective;
• Work with data scientists and MLOps teams to embed security into the AI development lifecycle;
• Document AI system threat models and design risk mitigation strategies;
• Stay updated on AI security research, adversarial ML techniques, and emerging regulatory considerations.

Requirements:
• 6+ years experience in cybersecurity and/or applied machine learning;
• Strong knowledge of cybersecurity principles, threat modeling, and security architecture;
• Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data pipelines;
• Understanding of adversarial ML concepts and experience applying mitigation strategies;
• Programming proficiency in Python, and experience with data analysis libraries.

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