Senior Engineer, AI, Quality Assurance
Tasks
- Analyze robustness fairness and drift
- Automate model validation pipelines
- Build AI powered test generation
- Build dashboards and reports for QA metrics
- Coach QA teams on AI testing
- Continuously improve AI ML pipelines
- Create AI ML guidelines for QA
- Define AI quality KPIs
- Define AI strategy for QA
- Design AI QA governance standards
- Detect failure patterns
- Implement predictive test selection
- Integrate AI into automation pipelines
- Lead AI enablement for QA teams
- Optimize test suites
- Perform data quality checks
- Test explainability and behavioral consistency
- Validate ML model performance accuracy
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Artificial Intelligence | CI/CD | Data Quality | Drift Detection | Explainability | Fairness analysis | Java | LLMs | MLOps | Machine Learning | Model Validation | Model performance | NLP | PyTorch | Python | Quality Engineering | Scikit-learn | TensorFlow | Test automation | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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