AI Security Engineering Vulnerability Protection Engineer

Role:Security Engineering Vulnerability Protection Engineer
Location:Remote

Required Qualifications

• 12+ years of cybersecurity engineering or security architecture experience.
• 6+ years of AI/ML security experience.
• Hands-on experience deploying or administering HiddenLayer.
• Strong understanding of adversarial machine learning, including:
  • Prompt Injection
  • Model Extraction
  • Model Theft
  • Data Poisoning
  • Model Evasion
  • Membership Inference
  • AI/ML Supply Chain Attacks
• Experience securing LLM and Generative AI applications.
• Understanding of the AI/ML model lifecycle.
• Proficiency with Python and REST APIs.
• Experience with Kubernetes and container security.
• Knowledge of AI/ML services on AWS, Azure, or Google Cloud Platform.
• Experience integrating security platforms through APIs and automation.
• Strong communication, documentation, and cross-functional collaboration skills.