Test Strategy & Design: Design, implement, and maintain comprehensive automated test suites specifically tailored for AI/ML systems, covering unit, integration, and end-to-end scenarios.
CI/CD Integration: Integrate testing workflows into the Continuous Integration/Continuous Delivery (CI/CD) pipelines, managing regression runs and optimizing testing strategies for the unique characteristics of AI components (model performance, latency, and drift).
Model Quality Assurance: Apply knowledge of machine learning and statistics to design meaningful validation tests, interpret model outputs, and continuously assess datasets for quality, completeness, and potential bias or drift.
Collaboration & Alignment: Work closely with Product Owners, Technical Leads, Developers, and AI Engineers to ensure testability is baked into the model design from the start, driving c...
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