Lead QA Engineer – AI/ML

Dice is the leading career destination for tech experts at every stage of their careers. Our client, BLYK Engineering Services Inc., is seeking the following. Apply via Dice today!

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

Required Skills:

• 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