Quality Assurance Engineer The QA Engineer will ensure the quality and reliability of ML models and MLOps processes throughout the development lifecycle. | - Develop comprehensive test plans and strategies that cover functional, non-functional, and regression testing for ML models and MLOps pipelines.
- Define test cases for different scenarios, edge cases, and boundary conditions.
- Perform functional testing to verify that all features and workflows meet requirements.
- Conduct non-functional testing, including performance, scalability, and security testing in collaboration with the Security and Compliance team.
- Define and track quality metrics like defect density, test coverage, and mean time to detect (MTTD).
- Create automated test suites for model validation, including unit tests and integration tests.
- Design and execute performance tests to ensure models meet scalability requirements
- Implement data validation checks to maintain data quality throughout the ML lifecycle.
- Collaborate with the ML Engineer to define and track quality metrics for models in production.
- Develop and maintain documentation for testing procedures and quality standards.
- Participate in code reviews to ensure adherence to best practices and coding standards.
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