Description

Job Responsibilities include:

Design and execute manual, functional, regression, and UAT test cases for AI/ML and data-driven applications.

Develop and maintain automated 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 tools like Jira.

Perform root cause analysis, performance testing, and ensure reliability of AI/ML systems in production.

Required Qualifications:

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

3+ years of experience in QA engineering, with exposure to AI/ML or data-driven systems.

Strong experience in test automation using Python, Selenium, pytest, and API/data validation.

Familiarity with CI/CD pipelines, LLM evaluation, and ability to ensure quality, performance, and reliability of AI/ML applications

Key Skills

Education

Any Graduate