AI Application Security Engineer

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About this kind of role

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

Typically does: An AI Application Security Engineer focuses on identifying and mitigating security risks within artificial intelligence and machine learning systems. This involves assessing the security of AI models, data pipelines, and infrastructure, as well as developing and implementing security controls to protect against threats like adversarial attacks and data breaches. They work to ensure AI applications are developed and deployed securely, adhering to industry best practices and regulatory requirements. Responsibilities often include threat modeling, vulnerability assessments, and incident response related to AI systems.

Tools and skills: Proficiency in programming languages like Python, experience with machine learning frameworks (TensorFlow, PyTorch), knowledge of cloud security platforms (AWS, Azure, GCP), and familiarity with security tools for vulnerability scanning and penetration testing are generally required.

Good fit for: Individuals with a strong background in both software security and artificial intelligence, possessing a keen analytical mind and a proactive approach to problem-solving, typically thrive in this role.