QA Architect - R01571456
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About the role
Brillio's AI and data engineering team works on data science and machine learning systems. The QA Architect will develop automated testing and statistical evaluation frameworks for models, data pipelines, and related components.
What you'll do
- Design automated tests for AI and data science outputs
- Build validation frameworks for backend and frontend components
- Define model test cases and statistical assessment metrics
- Integrate statistical tests into automated QA workflows
- Monitor model drift, anomalies, and forecast accuracy
- Improve scalable testing pipelines and infrastructure
Skills
Must have
- Python
- Pyspark
- Hypothesis testing
- T-test
- Z-test
- Regression analysis
- TensorFlow
- PyTorch
- Scikit-learn
- Great expectations
Nice to have
- Ai/ml evaluation pipelines
- CI/CD
- Cloud-native architectures
- Custom statistical metrics
- Distributed systems testing
Who it's for
- Experience
- 7+ years
- Domain
- ai and data engineering
About Brillio
Brillio has 75 open roles in Bangalore, at Bren Optimus. See every Brillio role.
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