Job Summary
We are seeking a Senior AI QA Engineer with 6–8+ 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