Quality Engineering & AI Validation Manager
Tasks
- Build automated testing frameworks
- Conduct data drift testing
- Define testing frameworks
- Detect bias in models
- Ensure security regulatory and governance compliance
- Execute performance, load, and scalability testing
- Implement AI ML validation methodologies
- Implement CI/CD quality gates
- Integrate testing into DevOps pipelines
- Lead QA strategy
- Lead and mentor QA engineers
- Perform model validation
- Run end to end testing across cloud and data platforms
- Test APIs
- Test performance and accuracy
- Validate BI and CRM integrations
- Validate data quality completeness consistency lineage
Perks/Benefits
Skills/Tech-stack
AI/ML | AI/ML validation | API Testing | AWS | Azure | Bias detection | CI/CD | Cypress | Data Drift | Data Pipelines | Data Quality | Data Validation | DevOps | ETL | End to End | End-to-End Testing | Load Testing | ML validation | Microservices | Model Validation | Performance Testing | Playwright | Power BI | QA strategy | SQL | Scalability testing | Selenium | Tableau | Test automation
Education
N/A
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