Edge AI Engineer
Tasks
- Build cross platform inference runtimes
- Build privacy preserving telemetry pipelines
- Deploy edge ML models to production
- Design Edge AI solutions
- Design hybrid edge cloud architectures
- Develop benchmarking suites
- Evaluate on device privacy and bias
- Implement model update versioning and rollback
- Implement secure execution and model protection
- Maintain technical documentation
- Optimize models for edge constraints
Perks/Benefits
Skills/Tech-stack
Benchmarking | C++ | Core ML | Digital Signal | Digital Signal Processor | Embedded Systems | Federated Learning | Inference Runtime | Integrity verification | Knowledge Distillation | Machine Learning | Mobile GPU | Model Compression | Model Security | Neural Processing Unit | Neural processing | ONNX Runtime | On Device Privacy | Performance Engineering | Profiling | Pruning | Python | Quantization | SoC | Telemetry pipelines | TensorFlow Lite
Education
N/A
Roles
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