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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 • Islamabad, Islamabad Capital Territory, Pakistan
Role & seniority: Senior AI QA Engineer (5–8 years of software quality assurance, test automation, and AI/ML data-pipeline validation)
Location & work type: Hybrid, Full-Time; Lahore / Karachi / Islamabad, Pakistan
Testing: QA strategy, test planning, test cases, regression/integration/system testing
Automation: Selenium, Pytest, Python
API: REST API testing
CI/CD: Integration of automated tests into CI/CD pipelines
Data/AI: Data pipelines, ETL, ML model outputs, AI/ML lifecycle testing
Version control: Git
Cloud (preferred): AWS, Azure, or GCP (nice-to-have)
Container/orchestration (nice-to-have): Docker, Kubernetes
Define and execute test plans, strategies, and test cases for AI/ML and data-driven apps
Design, develop, and maintain automated test frameworks; perform API and data-pipeline validation
Conduct end-to-end testing across data ingestion, model training, inference, deployment; ensure CI/CD integration; defect tracking and collaboration with Data/ML/DevOps teams
Software QA fundamentals; test planning/strategy; test automation
Selenium, Pytest, Python
API testing (REST); CI/CD integration
Data pipeline/ETL testing; AI/ML pipeline testing
Regression and integration testing; defect tracking
Git/version control
ML model validation (accuracy, drift, bias)
Cloud platforms (AWS, Azure, GCP)
Docker and Kub
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