Senior Machine Learning Test Engineer
USD 146K-235K (estimate) Senior-level Full Time
Tasks
- Automate ML QA workflows
- Build quality gates for training and deployment pipelines
- Contribute to multi team projects and codebases
- Create and maintain test harnesses for ML services and APIs
- Define ML quality strategy and acceptance criteria
- Define structured rubrics for measurable evaluation gates
- Design and maintain model evaluation suites and metrics
- Document and present evaluation findings
- Evaluate CAD RL model outputs for geometric validity and policy stability
- Mentor teams on ML QA best practices
- Participate in code reviews
- Perform API testing
- Test ML models from product side
Perks/Benefits
- N/A
Skills/Tech-stack
API Testing | AWS | Agile | Airflow | Azure | CI/CD | Cloud platform | Data Drift | Data Drift Detection | Data Validation | Design Patterns | Drift Detection | Experiment tracking | GitHub Actions | Google Cloud | Google Cloud Platform | Great Expectations | Jenkins | MLOps | MLflow | Machine Learning | Metaflow | Model Evaluation | Model Monitoring | PyTorch | Python | Regression testing | Software Architecture | TensorFlow | Test Harness | Test automation | UAT
Education
N/A
Regions
Countries
States
Cities
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