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🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
NorthBay - Pakistan • Lahore, Punjab, Pakistan
Role & seniority: Senior AI QA Engineer (5–8 years in software QA, test automation, AI/ML/data pipeline validation)
Stack/tools: Selenium, Pytest, Python; API testing (REST); CI/CD integration; data/ML pipeline validation; Git; ETL and end-to-end AI/ML lifecycle testing
Define/execute test plans, strategies, and test cases for AI/ML and data-driven apps
Design/maintain automated test frameworks; perform API testing; validate data pipelines and ML outputs
Lead end-to-end testing across data ingestion, model training, inference, deployment; integrate tests into CI/CD; manage defects and drive resolution; collaborate with Data/ML/DevOps
Must-have skills: Software QA expertise; test planning/strategy; test automation (Selenium, Pytest); Python; API testing (REST); CI/CD; data pipeline testing; AI/ML pipeline testing; regression/integration testing; defect tracking; Git
Nice-to-haves: ML model validation (accuracy, drift, bias); cloud platforms (AWS/Azure/GCP); Docker/Kubernetes; performance/load testing; data quality/monitoring frameworks
Location & work type: Hybrid; Lahore/Karachi/Islamabad, Pakistan; Full-time
Experience Required: 5–8 Years
Employment Type: Full-Time
Work Mode: Hybrid
Location: Lahore / Karachi / Islamabad – Pakistan
Job Summary
We are looking for a Senior AI QA Engineer with 5–8 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 Show more Show less