AI SecOps Engineer

Role Name: AI SecOps Engineer Experience: 7-10 Years Location: Bangalore, Pune, Hyderabad Required Skillset: AI Security Deep understanding of the unique security challenges in AI and machine learning, including threats specific to Large Language Models (LLMs). Model Armor Knowledge 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 Experience Proven 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. Terraform Hands-on experience with Terraform for infrastructure as code, particularly for deploying and managing security infrastructure in a cloud environment. Python Strong, hands-on Python programming skills, as it is a primary language for AI/ML development and for scripting security automation tasks. scripting security automation tasks. Google Cloud Platform (GCP) Strong, hands-on experience on Google Cloud Platform