AI Tester

Develop and execute comprehensive test plans for AI/ML models, ensuring functionality, performance, and reliability.

Validate data integrity, preprocessing pipelines, and model outputs.

Conduct functional, regression, and performance testing for AI models, focusing on bias, fairness, and scalability.

Test AI integrations within end-to-end systems and workflows.

Build and maintain automation frameworks for AI testing using tools like TensorFlow Testing Library and PyTest.

Analyze key metrics such as accuracy, latency, and resource utilization.

Collaborate with cross-functional teams to enhance model quality and streamline deployment processes.

Document test cases, scenarios, and results while tracking issues using tools like Jira.

Proficiency in Python, AI/ML frameworks (e.g., TensorFlow, PyTorch), and testing tools.

Solid understanding of software testing principles and AI/ML algorithms.

Experience with model evaluation metrics (e.g., F1 Score, ROC-AUC) and cloud platforms such as AWS, Azure, and GCP.

Strong communication, analytical, and problem-solving skills.

Hands-on experience with MLOps and ethical AI testing.

Familiarity with interpretability tools like SHAP or LIME.