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AI Security Architect

Salary undisclosed

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  • Proven experience in security architecture with a focus on AI/ML technologies.
  • Strong knowledge of compliance and security frameworks (e.g., SOC2, ISO 27001, NIST).
  • Expertise in data science security, including securing machine learning pipelines, model governance, and data handling.
  • Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, and understanding of AI model vulnerabilities (e.g., adversarial attacks).
  • Hands-on experience with cloud security solutions (AWS, Google Cloud Platform, Azure) and secure cloud-native AI services.
  • Familiarity with encryption, identity management, and access control for AI/ML systems.
  • Strong problem-solving abilities and cybersecurity threat mitigation experience.
  • Ability to work cross-functionally with teams, especially data scientists, engineers, and compliance personnel.

Preferred Qualifications:

  • Experience with AI bias and ethical considerations in AI security.
  • Strong analytical skills with a focus on AI-driven security threats.
  • Familiarity with DevSecOps practices for AI and automation tools.
  • Prior experience securing edge AI and IoT systems.
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