Edge ML Engineer
Tasks
- Compress and quantize models
- Deploy models to mobile and embedded platforms
- Design machine learning models for edge devices
- Ensure on device privacy and security
- Implement hardware aware optimization
- Optimize models for resource constrained hardware
- Profile and improve model performance
- Prune models
- Ship reliable AI capabilities outside data center
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Edge AI | Embedded Systems | Federated Learning | Machine Learning | Mobile AI | Model Compression | Model Deployment | On Device Personalization | Performance Engineering | Profiling | Pruning | Python | Quantization
Education
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