Ai/Ml系统工程师
Tasks
- Coordinate OTA model security review process
- Create data feedback loop
- Define machine learning requirements
- Define measurable metrics by scenario
- Ensure edge deployment constraints
- Ensure machine learning training data quality
- Establish AI performance monitoring KPIs
- Implement Sim2Real engineering closed loop
- Manage AI data requirements
- Manage progressive validation workflow
- Perform physical parameter identification
- Quantify simulation to real gap
- Review machine learning architecture
Perks/Benefits
- N/A
Skills/Tech-stack
Control Systems | Data Feedback | Data Feedback Loop | Data Quality | Deep learning | Edge Computing | Embedded Systems | Feedback loop | Functional Safety | IEC 61508 | ISO 26262 | Inference Optimization | Jira | KPI Monitoring | Machine Learning | Machine Learning Data Quality | Machine learning data | Model Compression | Model Deployment | Notion | OTA Updates | Reinforcement Learning | Robotics | Security review | Sim2real | Testing Automation
Education
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