QA Architect - R01571456
Brillio, Bangalore, Karnataka, India
About the job
QA Architect
Job requirements Experience Range: With at least 7 years of quality assurance experience, including substantial hands-on work with data science and machine learning testing frameworks Key Responsibilities:
- Design and implement automated testing strategies for AI and data science outputs, ensuring accuracy and reliability across models and pipelines
- Develop and maintain robust evaluation and validation frameworks for backend and frontend components, leveraging statistical and machine learning techniques
- Collaborate with data scientists and engineers to define test cases, hypotheses, and statistical metrics for model assessment and improvement
- Integrate advanced statistical tests such as T-Test, Z-Test, and regression analyses into automated QA workflows to validate model performance
- Utilize tools like Great Expectations, Evidently AI, and specific machine learning frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet) to monitor, track, and report on model drift, anomalies, and forecast accuracy
- Optimize testing processes for scalability and efficiency using Python, PySpark, R, and related technologies in large-scale data environments