ai secops engineer

Area of
Expertise Description/Requirements AI SecurityDeep understanding of the unique security challenges in AI and machine learning, including threats specific to Large Language Models (LLMs). Model ArmorKnowledge of "Model Armor", including its step-by-step implementation, its purpose as an AI-specific security layer,and the criteria used for threat detection. Project ExperienceProven hands-on experience in implementing and managing security for AI projects. The candidate should be able to explain their past projects in detail. Threat Detection
Response Experience in defining detection criteria for security threats and handling false positives effectively. TerraformHands-on experience with Terraform for infrastructure as code, particularly for deploying and managing security infrastructure in a cloud environment. PythonStrong, hands-on Python programming skills, as it is a primary language for AI/ML development and for scripting security automation tasks. Google Cloud
Platform (GCP) Strong, hands-on experience on Google Cloud Platform

experience

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