AI Software Quality Assurance Engineer - Manager
Tasks
- Build and mentor QA teams through coaching and knowledge sharing
- Define quality objectives and success metrics
- Define validation approaches for AI model performance and accuracy
- Develop testing strategies for AI enabled applications and enterprise platforms
- Drive quality engineering transformation through automation continuous integration and continuous testing
- Establish testing standards and quality frameworks
- Implement risk based testing approaches and ensure test coverage
- Lead QA strategy and governance across projects
- Lead production readiness reviews and post release assessments
- Manage QA resources priorities budgets and delivery timelines
- Manage defect management root cause analysis and quality improvement
- Manage end to end testing across software development lifecycles
- Monitor quality metrics report defects and testing progress
- Oversee functional regression integration performance security and user acceptance testing
- Review and approve test plans execution reports and release readiness
- Support client audits and compliance for software quality and testing controls
Perks/Benefits
Skills/Tech-stack
AI model | AI model validation | Acceptance Testing | Agile | Azure DevOps | CI/CD | Cause analysis | Continuous Testing | Continuous integration | Defect Management | DevOps | Generative AI | Integration Testing | JMeter | Jira | Machine Learning | Model Validation | Performance Testing | Playwright | Postman | Quality Assurance | Regression testing | Root Cause Analysis | Root cause | Security Testing | Selenium | Test Management | Test Planning | Test automation | User Acceptance | User Acceptance Testing
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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