What are the responsibilities and job description for the Lead QA Engineer – AI/ML position at Jobs via Dice?
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Key Responsibilities:
Key Responsibilities:
- Lead QA strategy and execution for AI/ML and data-driven applications
- Design and implement test frameworks for validating machine learning models
- Define test strategies for model validation, including accuracy, precision, recall, and bias detection
- Perform functional, regression, performance, and data validation testing
- Validate data pipelines (ETL), data quality, and data integrity
- Work closely with Data Scientists, Data Engineers, and Developers
- Ensure testing coverage for model training, inference, and deployment pipelines
- Implement test automation frameworks for APIs, UI, and backend systems
- Lead defect management, root cause analysis, and quality reporting
- Mentor QA team members and drive best practices in quality engineering
- Support CI/CD integration and continuous testing in Agile environments
- 10 years of experience in QA / Software Testing / Quality Engineering
- Strong understanding of AI/ML concepts:
- Supervised & Unsupervised Learning
- Model evaluation metrics (Accuracy, Precision, Recall, F1 Score)
- Bias, fairness, and explainability
- Hands-on experience in testing ML models and data pipelines
- Strong experience in test automation tools (Selenium, Cypress, Playwright, etc.)
- Experience in API testing (Postman, REST Assured)
- Proficiency in Python or Java for automation
- Experience with SQL and data validation techniques
- Familiarity with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps)
- Strong knowledge of STLC, SDLC, Agile/Scrum methodologies