Edge ML Engineer
Tasks
- Collaborate across teams
- Compress machine learning models
- Deploy machine learning models to mobile and embedded platforms
- Design machine learning models for edge devices
- Implement on device privacy and security
- Optimize machine learning models
- Perform hardware aware optimization
- Profile and improve model performance
- Prune machine learning models
- Quantize machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Device security | Edge inference | Embedded Systems | Federated Learning | Hardware optimization | Machine Learning | Mobile AI | Model Compression | On-device security | Performance Profiling | Pruning | Python | Quantization
Education
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