AI ML, Python QA Professional

• Perform QA automation testing for AI/ML-based software systems and data-driven applications.

• Develop and execute Python-based automation scripts for testing and validation purposes.

• Work closely with AI/ML engineering teams to understand model workflows and testing requirements.

• Validate machine learning pipelines, data workflows, and system performance outputs.

• Design and implement test strategies for AI/ML applications including functional and regression testing.

• Ensure data quality, accuracy, and consistency across ML models and datasets.

• Collaborate with data science and engineering teams to improve testing coverage and system reliability.

• Identify defects, troubleshoot issues, and ensure timely resolution in AI-driven systems.

• Work with ML frameworks and understand model training and deployment workflows.

• Maintain documentation for test cases, automation frameworks, and QA processes.

• Continuously improve QA processes for AI/ML systems using modern tools and best practices.