Enterprise AI Security Engineer

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About this kind of role

What a Enterprise AI Security Engineer usually does. The employer's own details are in the listing.

Typically does: An Enterprise AI Security Engineer focuses on identifying and mitigating security risks associated with artificial intelligence and machine learning systems across an organization. This involves developing and implementing security controls, conducting vulnerability assessments, and responding to security incidents related to AI models and infrastructure. They collaborate with data scientists, machine learning engineers, and security teams to ensure AI systems are developed and deployed securely. Responsibilities often include establishing AI security best practices and providing guidance on secure AI development lifecycles.

Tools and skills: Proficiency in cloud platforms (AWS, Azure, GCP), machine learning frameworks (TensorFlow, PyTorch), security tools (SIEM, vulnerability scanners), and programming languages (Python, Java) is generally required, alongside a strong understanding of cryptography and secure coding principles.

Good fit for: Individuals with a blend of security expertise and a strong interest in artificial intelligence and machine learning technologies typically thrive in this role.