AI ML QA

<p><b>AI/ML GCP + QA Engineer<br /> Fulltime<br /> Hybrid (2 days a week)- Toronto ,ON</b></p> <p> </p> <p>QA Engineer with specialization in AI/ML systems delivered on Google Cloud, including Google ADK/Vertex AI stacks. This role combines traditional QA/testing skills with AI-specific validation strategies (LLM output quality, performance testing, regression checks, hallucination detection, and data integrity across agentic systems). The ideal candidate bridges QA and ML engineering to ensure reliability, fairness, and robustness of AI-powered products in production. </p> <p><b>Key Responsibilities</b></p> <ul> <li>Develop and execute comprehensive test plans and automated frameworks for AI/ML components (models, pipelines, APIs, agent workflows). </li> <li>Define QA strategies for AI outputs including correctness, stability, bias detection, and edge case resilience. </l...