Senior AI QA Engineer

Job Title: Senior AI QA Engineer Experience Required:  4–6 Years Employment Type: Full-Time Work Mode: Remote Location: India Job Summary We are seeking a Senior AI QA Engineer with 4–6+ years of experience in software quality assurance, test automation, and validation of data-driven and AI/ML systems.

The role involves test planning, automation framework development, API testing, CI/CD integration, and end-to-end testing of AI and data pipelines.

The candidate will work closely with engineering, data, and DevOps teams to ensure high-quality, scalable AI solutions.

Key Responsibilities Define and execute test planning, test strategy, and test cases for AI/ML and data-driven applications Develop and maintain automated test frameworks using Selenium and Pytest Perform API testing for RESTful services Validate data pipelines, ETL workflows, and ML model outputs Conduct end-to-end testing across AI/ML lifecycle including data ingestion, training, inference, and deployment Integrate automated test suites into CI/CD pipelines Perform regression, integration, system, and performance testing Identify, document, and track defects to closure Collaborate with Data Engineers, ML Engineers, and DevOps teams Ensure adherence to QA standards, best practices, and compliance requirements Mentor junior QA team members when required Required Skills Software Quality Assurance Test Planning and Test Strategy Test Automation Selenium Pytest Python API Testing (REST) CI/CD Integration Data Pipeline Testing AI/ML Pipeline Testing Regression Testing Defect Tracking Git / Version Control Preferred Skills Machine Learning model validation (accuracy, drift, bias) Cloud platforms (AWS, Azure, GCP) Docker and Kubernetes Performance and Load Testing Data Quality and Monitoring frameworks Powered by JazzHR