Edge AI Engineer
Tasks
- Apply model compression techniques
- Build cross platform inference runtimes
- Build privacy preserving telemetry pipelines
- Collaborate with hardware and firmware teams
- Deploy machine learning models to production
- Design Edge AI solutions
- Design hybrid edge cloud architectures
- Develop benchmarking suites
- Evaluate privacy and bias for responsible AI
- Implement on device model update and rollback
- Implement secure model execution paths
- Maintain technical documentation
- Optimize machine learning models for edge constraints
- Optimize models for accelerator backends
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Core ML | Device security | Edge AI | Federated Learning | Inference Optimization | Knowledge Distillation | Machine Learning | Model Benchmarking | Model Compression | Model versioning | ONNX Runtime | On-device security | Pruning | Python | Quantization | Telemetry | TensorFlow Lite
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