Principal AI/ML Engineer, Validation Strategy & Test Architecture
Tasks
- Build failure forecasting analytics
- Build self healing test execution systems
- Collaborate with firmware hardware and system teams on validation needs
- Create validation intelligence dashboards
- Deploy and scale AI/ML solutions
- Develop ML models for root cause analysis
- Generate tests from requirements and code changes
- Identify failure signatures in historical data
- Identify test coverage gaps and redundancies
- Implement AI driven test selection
- Integrate Large Language Models into validation workflows
- Optimize test runtime
- Prioritize tests by code change risk
- Support AI adoption with tooling and guidance
- Translate validation domain expertise into ML features
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Feature Engineering | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | Scikit-learn | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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