AI Model Validator

Validate AI and machine learning models to ensure they meet performance and accuracy standards.
Design and execute test cases to identify potential issues and biases in AI models.
Collaborate with data scientists and engineers to refine models based on validation feedback.
Develop automated testing frameworks for continuous validation of deployed models.
Provide recommendations for improving model reliability, robustness, and fairness.

Strong experience in validating AI models and machine learning systems.
Proficiency in programming languages such as Python, R, or SQL.
Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Knowledge of statistical techniques and performance metrics for model evaluation.
Bachelor's or Master's in Computer Science, Data Science, or related field