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Niche AI/ML security skillset reduces applicants despite a known employer and metro location.
Highly domain-specific ML and cybersecurity expertise limits cross-industry transferability.
Explicit 5+ years and mandatory AI/ML security expertise make filters highly stringent.
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Lead end-to-end security review and threat identification in AI/ML pipelines, including adversarial inputs and model poisoning.
Conduct robustness testing, privacy leakage detection, and collaborate with data science teams to implement secure AI practices.
Develop automation scripts for threat hunting, perform penetration testing, vulnerability assessments, and evaluate new cybersecurity tools via POCs.
Minimum 5+ years experience in security review of AI/ML pipelines and threat analysis.
Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, or related field.
Experience with workload, server, network architectures and associated security controls.
Work Experience Required: 5+ years related to AI/ML security pipeline assessments.
Experienced in collaborating closely with data science teams on secure AI development and deployment.
Proficient in both technical security testing and strategic implementation of AI risk tracking and remediation within SLAs.
Comfortable working with emerging cybersecurity tools and innovative security solutions in dynamic environments.