Description

Own the quality assurance strategy for AI/ML applications, data pipelines, and end-to-end validation workflows.

This role is on-site.

Responsibilities

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

Required Skills

• 8–10 years of experience in QA/Software Testing.
• Strong experience in AI/ML application testing, including model validation.
• Proficiency in automation tools: Selenium, TestComplete.
• Proficiency in SQL and scripting (Python preferred).
• Understanding of data quality and ETL processes.
• Experience collaborating with data scientists, ML engineers, and DevOps teams.

Preferred Skills

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.

Key Skills

Education

Any Graduate