Cybersecurity Engineering-AI/ML Assessment
Core
Protect AI/ML pipelines from adversarial inputs, model poisoning, and data leakage while collaborating with data science teams to implement secure AI practices.
Role type
Senior IC cybersecurity engineer (AI/ML security)
Builds
Secure AI/ML pipelines and inference logic for enterprise customers
Domain
Cybersecurity + Artificial Intelligence/Machine Learning
Deliverable
production ML models
Required skills
end-to-end security review of AI/ML pipelines, threat identification (adversarial inputs, model poisoning, data leakage), AI codebase analysis, training data flow analysis, deployed inference logic analysis, robustness testing, privacy leakage detection, automation script development for threat hunting, SLA reporting and remediation
Preferred skills
workload architecture knowledge, server architecture knowledge, network architecture knowledge, security controls implementation
Technologies
AI/ML frameworks, security testing tools, automation scripting languages
Responsibilities
Analyze AI codebases and training data flows, conduct robustness testing and privacy leakage detection, collaborate with data science teams on secure AI practices, provide reporting and remediation support within SLA, suggest automation opportunities in AI risk tracking pipelines, conduct penetration testing and vulnerability assessments
Seniority
Senior, hands-on IC
