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)

Solid, hands-on experience on Google Cloud Platform

📌 AI SecOps Engineer (Bengaluru)
🏢 Teamware Solutions
📍 Bengaluru