Design, implement, and test specialized security controls to protect AI models and data pipelines from adversarial attacks such as poisoning and evasion.
Identify and mitigate vulnerabilities unique to AI/ML platforms, including model extraction and data governance challenges.
Evaluate and implement model trustworthiness and interpretability tools to ensure AI systems operate transparently and securely.
Work within the Cyber Security Engineering family to integrate AI-specific security controls into the broader enterprise infrastructure.
Secure the ML environment and cloud-native ML platforms to ensure data privacy and the integrity of the AI lifecycle.

Requirements

Minimum 4+ years of experience in Information Security, with direct experience securing AI/ML platforms.
Solid understanding of common AI/ML vulnerabilities and mitigation strategies (e.g., data poisoning, model extraction).
Proficiency in securing cloud-native ML platforms.
Familiarity with data governance and privacy challenges unique to AI systems.

Benefits

Health insurance
Flexible work arrangements
Professional development opportunities
Bonuses

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

security controlsAI modelsdata pipelinesvulnerabilitiesmodel trustworthinessinterpretability toolscloud-native ML platformsdata privacydata governancemitigation strategies