AIML Security Engineering

About the role

Design and implement comprehensive security frameworks for AI/ML pipelines, from data ingestion through model deployment Conduct security assessments of machine learning deployments, identifying vulnerabilities including adversarial attacks, data poisoning, and model inversion risks Develop automated security testing and monitoring solutions for AI/ML systems at scale Lead incident response for AI/ML security events, coordinating technical remediation and stakeholder communication Establish secure MLOps practices, including secure model versioning, access controls, and audit trails Collaborate with engineering teams to integrate security-by-design principles into AI/ML development workflows Business & Strategic Leadership Translate complex AI/ML security risks into business impact assessments for leadership and stakeholders Develop and present security roadmaps that align with business objectives and product timelines Lead cross-functional teams through security initiatives, fostering collaboration between engineering, legal, privacy, and product teams Establish metrics and KPIs to measure AI/ML security posture and communicate progress to executives