Edge AI Engineer
Tasks
- Deploy machine learning models to mobile and embedded platforms
- Design edge machine learning models
- Ensure on device privacy and security
- Implement hardware aware optimization
- Integrate edge inference frameworks
- Optimize models for resource-constrained devices
- Perform model compression quantization and pruning
- Profile and improve performance
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Device security | Edge inference | Embedded Systems | Hardware Architectures | Machine Learning | Mobile Hardware | Mobile Hardware Architectures | Model Compression | On Device Privacy | On-device security | Performance Profiling | Pruning | Python | Quantization
Education
Roles
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