AI/ML GCP + QA Engineer

You will own the quality assurance strategy and execution for AI/ML components within a GCP environment. Responsibilities • Develop and execute test plans and automated frameworks for AI/ML components, including models, pipelines, APIs, and agent workflows. • Define QA strategies covering AI output correctness, stability, bias detection, and edge case resilience. • Test AI model integrations with Vertex AI Endpoints and ADK agent systems alongside cloud services. • Implement regression, performance, and load testing for multi-agent and conversational systems. • Integrate automated QA checkpoints into MLOps pipelines as part of CI/CD processes. Required Skills • Bachelor's degree in Computer Science, Software Engineering, ML/AI, or related fields. • 5-8+ years of QA experience with strong exposure to AI/ML testing concepts. • Solid programming skills in Python for test automation tooling and ML model test harnesses. • Understanding of Google Cloud services, specifically Vertex AI and related AI/ML services. • Experience with automated testing systems and CI/CD integrations. • Experience with APIs. • Familiarity with GCP. Preferred Skills • Experience with Google Agent Development Kit (ADK) or other agent frameworks. • Exposure to RAG systems, conversational AI evaluation, and context/semantics QA.

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