Description

>> Ensure the quality, reliability, and performance of AI/ML-driven applications.

>> Validating machine learning models, testing data pipelines, and ensuring end-to-end quality for AI-based systems.

>> Design and execute test strategies for AI/ML applications and data pipelines.

>> Collaborate with Data Scientists, ML Engineers, and DevOps teams to understand model behavior and testing requirements.

Requirements: 

>> Strong experience in QA / Software Testing (functional & API testing)

>> Hands-on experience with testing tools such as JIRA, Rally, QTP, or similar

>> Experience in API testing tools (Postman/REST APIs)

>> Good understanding of SQL and database testing

>> Exposure to AI/ML fundamentals (model training, evaluation, prediction workflows)

>> Understanding of data validation, data quality, and ETL testing

>> Basic scripting knowledge (Python preferred)

Key Skills

Education

Bachelor's degree