Edge AI Engineer
Tasks
- Apply on device privacy and security considerations
- Deploy models to embedded systems
- Deploy models to mobile platforms
- Design edge machine learning models
- Implement hardware aware model optimization
- Integrate edge inference frameworks
- Optimize models for edge devices
- Perform model compression quantization and pruning
- Profile model performance on target devices
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Deep learning | Edge AI | Embedded Systems | Federated Learning | Hardware Architecture | Machine Learning | Mobile AI | Model Compression | Model Optimization | On-device Inference | Performance Profiling | Privacy & Security | Pruning | Python | Quantization
Education
Roles
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