AI QA / Testing Engineer

Skill Set – Model Validation, Bias / Fairness Testing, Automation

Role Overview

Ensure quality, fairness, and reliability of AI / ML models through comprehensive testing, validation, and automation. Focus on model performance, bias detection, and ethical AI practices.

Responsibilities

• Design and execute test strategies for AI / ML models and systems
• Perform model validation including accuracy, robustness, and performance testing
• Conduct bias and fairness testing to identify and mitigate discriminatory outcomes
• Develop automated testing frameworks for continuous model evaluation
• Test data pipelines, feature engineering, and model inference systems
• Create test cases for edge cases, adversarial inputs, and model behavior analysis
• Monitor model drift and performance degradation in production
• Collaborate with ML engineers and data scientists to ensure model quality standards

Requirements

Preferred

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