Description

Job Responsibilities include:

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

Validate ML model outputs, accuracy, performance metrics, and edge case scenarios.

Perform functional, integration, regression, and API testing for AI-driven systems.

Test data quality, ETL processes, and preprocessing workflows supporting ML models.

Collaborate with data scientists, ML engineers, and DevOps teams for end-to-end validation.

Manage defects, support UAT, and develop automation scripts for AI/ML testing workflows.

Required Qualifications:

Bachelor’s degree in computer science, Information Technology, Data Science, or a related field.

8–10 years of experience in QA/Software Testing with exposure to AI/ML systems.

Strong experience in AI/ML application testing, including model validation, data pipeline testing, and API testing.

Proficiency in automation tools (Selenium/TestComplete), SQL, and scripting (Python preferred) with understanding of data quality and ETL processes

Key Skills

Education

Any Graduate