Description

Own the quality assurance strategy for AI/ML applications, data pipelines, and inference endpoints.

This role is on-site.

Responsibilities

• Design and execute test strategies for AI/ML solutions, validating model outputs, accuracy, and performance metrics.
• Conduct functional, integration, and regression testing for data pipelines, including data quality and preprocessing workflows.
• Perform API testing for model inference and integration endpoints using Postman and REST APIs.
• Collaborate with Data Scientists and ML Engineers to validate model behavior, including drift, bias, and edge cases.
• Develop automation scripts for AI/ML workflows and prepare comprehensive test plans and QA documentation.

Required Skills

• 5+ years of experience in QA/Software Testing, specializing in functional and API testing.
• Proficiency with test management tools such as JIRA, Rally, or QTP.
• Strong SQL skills for database testing and data validation.
• Basic scripting knowledge, preferably in Python.
• Understanding of AI/ML fundamentals, including model training, evaluation, and prediction workflows.
• Experience with ETL testing and data quality assurance.

Preferred Skills

• Experience with Generative AI and LLM-based systems, including prompt validation and output verification.
• Knowledge of the ML lifecycle and exposure to data engineering tools like Spark, Airflow, or Databricks.
• Familiarity with automation frameworks such as Selenium and PyTest.

Key Skills

Education

Bachelor's degree