AI / ML Test Engineer

Responsibilities

• Design and execute test strategies for AI / ML models, ensuring data quality, accuracy, and reproducibility.
• Validate ML models against defined metrics such as precision, recall, accuracy, and F1 score.
• Develop automated test scripts and frameworks for model validation and monitoring.
• Perform functional, performance, and regression testing of AI-driven applications.
• Verify data pipelines and ensure data integrity from source to model input / output.
• Conduct bias and fairness testing to ensure ethical AI behavior.
• Work with data scientists to understand model logic, training datasets, and expected outcomes.
• Validate model deployment workflows (MLOps) and ensure smooth model versioning and retraining cycles.
• Integrate test automation into CI / CD pipelines for continuous model validation.
• Document test scenarios, defect reports, and model validation results.
• Research and implement new tools for AI model testing, explainability (XAI), and monitoring.

Qualifications

Skills Required

Pytest, Json, Tensorflow, Numpy, Pandas, Pytorch, Robot Framework, Rest Apis, Python