Senior AI/ML Engineer, Validation Strategy & Test Architecture
Tasks
- Build adaptive test execution using historical performance data
- Build predictive analytics for failure detection and risk identification
- Collaborate with firmware hardware and system teams
- Create dashboards for data driven validation decisions
- Deploy and maintain AI ML solutions with platform and infrastructure teams
- Develop AI powered test generation from requirements and code changes
- Develop machine learning models for root cause analysis
- Identify failure signatures from historical validation data
- Identify test coverage gaps and inefficiencies
- Implement AI-driven test selection and prioritization
- Integrate LLM based capabilities into validation workflows
- Optimize test execution time while maintaining quality
- Provide documentation training and team enablement for AI tools
- Translate domain knowledge into ML features
Perks/Benefits
- Dental insurance
- Income protection
- Medical insurance
- Paid Holidays
- Paid family leave
- Paid sick leave
- Paid time off
- Vision insurance
Skills/Tech-stack
CI/CD | Experimentation | Feature Engineering | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Natural Language | Natural Language Processing | Predictive Analytics | Prompt engineering | PyTorch | Python | Scikit-learn | TensorFlow | Test automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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