Senior Quality Assurance Analyst
Current● Developing Test Strategies: Create comprehensive testing strategies tailored to the unique requirements of AI applications, including data quality, model accuracy, and performance.● Creating Test Cases and Scenarios: Design test cases and scenarios that cover various use cases, edge cases, and potential biases in the AI models.● Manual and Automated Testing: Execute both manual and automated tests, focusing on functional testing, regression testing, and performance testing of AI models and APIs.● Monitoring AI Performance: Continuously monitor AI application performance in production, identifying anomalies and potential issues as they arise.● Collaborating with Developer: Work closely with developers to understand model behavior, provide feedback, and facilitate improvements.● Documenting Findings: Maintain thorough documentation of test processes, results, and any identified issues, ensuring clear communication with stakeholders.● Ensuring Compliance: Verify that AI applications comply with relevant regulations and ethical standards, including data privacy and bias mitigation.● Training and Knowledge Sharing: Stay updated on AI technologies and best practices, sharing knowledge and insights with the team and broader organization.