
Senior QA Engineer – AI-Powered Testing & Automation
- Mississauga, ON
- Permanent
- Full-time
- Design and implement AI-driven testing frameworks to optimize test case generation, defect prediction, and regression analysis
- Lead the integration of machine learning models into QA workflows for smarter validation and anomaly detection
- Collaborate with cross-functional teams to ensure quality-first delivery of AI-enabled and traditional applications
- Develop strategies for chaos testing, data drift detection, and model explainability validation
- Automate repetitive QA tasks using intelligent bots, RPA, or Power Platform tools
- Mentor QA engineers in adopting AI tools and practices
- Define and track quality KPIs using dashboards and analytics
- Transform manual QA processes into intelligent, scalable systems
- Improve data accuracy, test efficiency, and release confidence
- Build a resilient QA practice that supports AI-driven applications and automated intake systems
- 5+ years in QA roles, with 2+ years in AI/ML-powered testing or automation
- Strong understanding of machine learning concepts, model validation, and data quality
- Experience with tools like Test.ai, Applitools, Selenium, Power Automate, or Azure ML
- Familiarity with chaos engineering, data drift, and non-deterministic testing
- Proficiency in Python, JavaScript, or other scripting languages
- Excellent communication and leadership skills.
- Experience testing low-code platforms (e.g., Power Platform)
- Knowledge of OCR, document classification, or NLP in QA workflows
- Exposure to CRM systems and healthcare-related data workflows
- Certifications in AI/ML, QA Automation, or Cloud Testing