AI Security Expert
About the role
The AI Security Expert protects machine-learning systems from adversarial attacks, data poisoning, and pipeline tampering. The role sits between cybersecurity and ML so models stay secure, compliant, and production-ready.
What you'll do
- Design and implement protocols that secure model training and deployment pipelines
- Identify and prevent adversarial attacks including input manipulation, model inversion, and data poisoning
- Protect dataset privacy and proprietary model intellectual property
- Run AI-specific threat modeling and internal red-team exercises
- Align AI initiatives with standards such as ISO/IEC 42001 and NIST AI RMF
Requirements
- Strong understanding of machine learning frameworks (e.g., PyTorch, TensorFlow) and model architectures
- Proven experience with adversarial machine learning techniques such as gradient-based, evasion, and model-extraction attacks
- Expertise securing CI/CD pipelines and containerized environments (Docker, Kubernetes) for ML workloads
- Proficiency in privacy-preserving technologies such as Differential Privacy, Homomorphic Encryption, or Federated Learning
- Deep experience with security configurations in AWS, Azure, or GCP managed AI services
- Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Data Science, or a related field
- 5+ years in cybersecurity, with at least 2 years focused on AI/ML security or research
About D2B
D2B resources mobile workforces in construction, healthcare, and logistics through a workforce and asset management platform that automates scheduling, compliance, and safety workflows.
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