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