AI Quality Assurance Engineer Lead
2 weeks ago
We are seeking an experienced AI Quality Assurance Engineer to play a critical role in designing and implementing innovative AI solutions. As a leader in travel technology, we're redefining the future of the travel industry through our experiential marketplace and SaaS platform.
Responsibilities:- AI System Testing
- Develop and execute test plans and cases for AI/ML models, algorithms, and applications.
- Validate model outputs for accuracy, fairness, and reliability across use cases.
- Test AI system integration with enterprise platforms and applications.
- Model Validation
- Perform regression testing, performance testing, stress testing, and scenario-based validation for models.
- Ensure models adhere to performance metrics (e.g., precision, recall, F1-score).
- Monitor and evaluate model drift and retraining requirements post-deployment.
- Automation and Tools
- Design and implement automated testing frameworks for AI systems.
- Leverage testing tools such as PyTest, Selenium, or specialized AI testing platforms.
- Data Quality Assurance
- Verify the integrity, accuracy, and consistency of training and testing datasets.
- Implement data validation frameworks to identify and rectify data quality issues.
- Compliance and Ethics Testing
- Audit AI systems for compliance with ethical guidelines and regulatory standards.
- Ensure adherence to fairness, bias mitigation, and explainability standards.
- Documentation and Reporting
- Maintain detailed documentation of test cases, results, and issue resolutions.
- Report QA metrics, such as defect density, test coverage, system performance, and defect escape rate.
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