Machine Learning Engineer - Edge
Tasks
- Apply model compression quantization pruning and distillation
- Collaborate with hardware engineers on device integration
- Collect preprocess and analyze datasets
- Deploy optimize and evaluate models for real time performance
- Develop AI ML models for edge devices
- Maintain edge AI development libraries tools and frameworks
- Manage technical risks throughout the project lifecycle
- Optimize algorithms for low power environments
- Train fine tune and validate machine learning models
Perks/Benefits
Skills/Tech-stack
Audio signal processing | C# | C++ | Embedded Systems | Knowledge Distillation | Machine Learning | Model Compression | Model Deployment | Pruning | PyTorch | Python | Quantization | Signal Processing | Speech Processing | TensorFlow Lite
Education
N/A
Regions
Countries
States
Cities
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