Description

You will own the quality assurance and testing lifecycle for AI/ML and data-driven applications, ensuring reliability and accuracy in production.

This role is on-site.

Responsibilities

• Design and execute manual and automated test cases for functional, regression, and UAT scenarios.
• Develop and maintain test frameworks using Python, Selenium, and pytest.
• Validate APIs and data pipelines through REST API testing and SQL-based data verification.
• Build and manage LLM evaluation pipelines to assess model accuracy, hallucination, and output quality.
• Integrate automated tests into CI/CD pipelines and track defects using Jira.

Required Skills

• 5+ years of experience in QA engineering.
• Strong proficiency in Python for test automation.
• Hands-on experience with Selenium and pytest.
• Experience with REST API testing and SQL-based data verification.
• Familiarity with CI/CD pipelines and Jira.
• Exposure to AI/ML systems or data-driven applications.

Key Skills

Education

Any Graduate