Edge AI Engineer
Tasks
- Apply model compression techniques
- Build edge inference runtimes
- Build privacy preserving telemetry pipelines
- Design Edge AI solutions
- Design hybrid edge cloud architectures
- Develop benchmarking suites
- Evaluate responsible AI privacy and bias
- Implement on device model updates and rollbacks
- Implement secure model execution paths
- Maintain technical documentation
- Optimize for accelerator backends
- Quantize prune and distill models
Perks/Benefits
Skills/Tech-stack
C++ | Core ML | Device deployment | Embedded Systems | Federated Learning | Inference Optimization | Knowledge Distillation | Machine Learning | Mobile SoCs | Model Benchmarking | Model Compression | ONNX Runtime | On-device Deployment | Privacy Engineering | Pruning | Python | Quantization | Security | TensorFlow Lite
Education
Roles
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