Artificial Intelligence/ Machine Learning Security Operations (MLSecOps) Lead Security Engineer

About this kind of role

What a Artificial Intelligence/ Machine Learning Security Operations (MLSecOps) Lead Security Engineer usually does. The employer's own details are in the listing.

Typically does: This role focuses on protecting machine learning models and the infrastructure supporting them from security threats. Responsibilities include developing and implementing security controls, monitoring for vulnerabilities, and responding to security incidents specific to AI/ML environments. The engineer will also work to improve the overall security posture of AI/ML systems through threat modeling, risk assessments, and security awareness training. Collaboration with data scientists, ML engineers, and other security teams is a key component of this position.

Tools and skills: Proficiency in security information and event management (SIEM) systems, cloud security platforms, scripting languages (e.g., Python), and a strong understanding of machine learning concepts and security principles are typically required.

Good fit for: Individuals with a strong security background and a passion for understanding and mitigating risks in emerging technologies will thrive in this role.