Job Description

Experience Required: 8+ Years
Employment Type: Full-Time
Work Mode: Hybrid
Location: Lahore / Karachi / Islamabad – Pakistan

We are looking for a Senior AI QA Engineer with 8+ years of experience in software quality assurance, test automation, and validation of AI/ML and data-driven systems The role involves defining test strategies, building and maintaining automation frameworks, API testing, CI/CD integration, and end-to-end testing of AI and data pipelines.

The ideal candidate will work closely with Engineering, Data, ML, and DevOps teams to ensure high-quality, scalable, and reliable AI solutions in a fast-paced, collaborative environment.

Key Responsibilities

• Define and execute test plans, test strategies, and test cases for AI/ML and data-driven applications
• Design, 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 the AI/ML lifecycle, including data ingestion, model training, inference, and deployment
• Integrate automated test suites into CI/CD pipelines
• Perform regression, integration, system, and performance testing
• Identify, document, prioritize, and track defects through resolution
• Collaborate closely with Data Engineers, ML Engineers, and DevOps teams
• Ensure adherence to QA standards, best practices, and compliance requirements
• Provide guidance and mentorship to junior QA engineers when required

Required Skills

• Strong experience in 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 and Integration Testing
• Defect Tracking and Reporting
• Git / Version Control

Preferred Skills

• ML model validation (accuracy, drift, bias)
• Experience with cloud platforms ( AWS, Azure, or GCP)
• Docker and Kubernetes
• Performance and Load Testing
• Data Quality and Monitoring frameworks