AI/ML QA Analyst

Client: TCS | Engagement: Full-time | Work mode: ONSITE | Experience: 8-10 | Publisher job id: JOB-000649

Role Overview

We are looking for a QA Analyst with AI/ML expertise to ensure the quality, reliability, and performance of AI/ML-driven applications. This role involves validating machine learning models, testing data pipelines, and ensuring end-to-end quality for AI-based systems including LLM-based applications, data processing pipelines, and predictive models. Key Responsibilities: Design and execute test strategies for AI/ML applications and data pipelines Validate ML model outputs, accuracy, and performance metrics Perform functional, integration, and regression testing for AI solutions Test data pipelines, data quality, and preprocessing workflows used in ML systems Conduct API testing for model inference and integration endpoints Collaborate with Data Scientists, ML Engineers, and DevOps teams to understand model behavior and testing requirements Perform model validation testing including drift, bias, and edge case scenarios Participate in release validation, UAT support, and defect management Develop automation scripts for testing AI/ML workflows (where applicable) Prepare test plans, test cases, and QA documentation Required Skills: Strong experience in QA / Software Testing (functional & API testing) Hands-on experience with testing tools such as JIRA, Rally, QTP, or similar Experience in API testing tools (Postman/REST APIs) Good understanding of SQL and database testing Exposure to AI/ML fundamentals (model training, evaluation, prediction workflows) Understanding of data validation, data quality, and ETL testing Basic scripting knowledge (Python, Java script preferred) Qualifications: 8-10 years of experience Preferred Skills: AI and Automation Playwright Generative AI - Quality Engineering Selenium