Edge AI Engineer
Tasks
- Apply model compression and quantization
- Build inference runtimes
- Build privacy aware telemetry pipelines
- Design Edge AI solutions
- Design hybrid edge cloud architectures
- Develop benchmarking suites
- Evaluate responsible AI privacy and bias
- Implement on device model update and rollback
- Implement secure execution paths
- Optimize for accelerator backends
- Optimize latency energy and memory
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Core ML | DSPs | Embedded Systems | Federated Learning | Inference Optimization | Knowledge Distillation | Machine Learning | Mobile GPUs | Mobile SoCs | Model Compression | Model versioning | NPUs | ONNX Runtime | Performance Profiling | Privacy & Security | Pruning | Python | Quantization | Telemetry pipelines | TensorFlow Lite
Education
Roles
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