Principal AI/ML Engineer, Validation Strategy & Test Architecture
Tasks
- Build adaptive self healing test execution systems
- Build predictive analytics for failure forecasting
- Build test optimization engines
- Create validation intelligence dashboards
- Deploy and scale AI/ML solutions
- Design pattern recognition algorithms for failure signatures
- Develop AI powered test generation from requirements
- Develop ML models for failure root cause analysis
- Drive AI adoption with tooling guidance and enablement
- Identify test coverage gaps and redundancies
- Implement AI-driven test selection and prioritization
- Integrate Large Language Models into validation workflows
- Partner with firmware hardware and system teams on validation needs
- Translate validation domain expertise into ML features
Perks/Benefits
Skills/Tech-stack
CI/CD | Feature Engineering | Language Processing | MLOps | Machine Learning | Model Evaluation | Model Monitoring | NLP | Natural Language | Natural Language Processing | Prompt engineering | PyTorch | Python | Scikit-learn | TensorFlow | Test automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI/ML Engineer | Engineer | ML Engineer | Principal | Principal AI/ML Engineer
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