Design and conduct Red Team operations focused on AI/ML systems, including adversarial input testing, model inversion, poisoning, and evasion attacks.
Emulate threat actors targeting AI infrastructure (e.g., model hosting platforms, training data lakes, inference APIs).
Develop custom tooling and payloads for AI-specific attack scenarios, including adversarial examples and synthetic data manipulation.
Collaborate with data scientists and ML engineers to assess model robustness, fairness, and explainability under adversarial conditions.
Lead Purple Team exercises to validate detection and response capabilities for AI-related threats.
Produce detailed reports and executive briefings outlining risks, attack paths, and remediation strategies.
Contribute to threat modeling and detection engineering for AI systems.
Stay current on emerging AI threats, adversarial ML research, and regulatory implications.
Mentor junior team members and foster a culture of offensive innovation.

Proven experience in Red Team operations, adversary emulation, or advanced penetration testing.
Deep understanding of AI/ML concepts including supervised/unsupervised learning, NLP, computer vision, and reinforcement learning.
Experience with adversarial ML techniques (e.g., FGSM, PGD, DeepFool, model extraction).
Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Familiarity with cloud platforms (AWS, Azure, GCP) and their AI services.
Knowledge of MITRE ATLAS, MITRE ATT&CK, and NIST AI RMF.
Experience with offensive tooling and scripting for automation and exploit development.
Excellent communication skills for technical and executive audiences.

Offensive Security Analyst – AI Specialist

Key skills