Edge AI Engineer
Tasks
- Apply model compression techniques
- Build cross platform inference runtimes
- Build privacy aware telemetry pipelines
- Design Edge AI solutions
- Design hybrid edge cloud architectures
- Develop benchmarking suites for accuracy latency energy
- Drive responsible AI privacy and bias evaluation
- Implement on device model update versioning and rollback
- Implement secure execution and model integrity
- Maintain technical documentation and runbooks
- Optimize models for accelerator backends
- Stay current with edge AI hardware and software
- Tune model performance on target hardware
Perks/Benefits
- N/A
Skills/Tech-stack
Benchmarking | Bias Evaluation | C++ | Core ML | DSPs | Embedded Systems | Federated Learning | Knowledge Distillation | Machine Learning | Mobile GPUs | Mobile SoCs | Model Compression | Model Update | NPUs | ONNX Runtime | Privacy & Security | Pruning | Python | Quantization | Rollback | Telemetry pipelines | TensorFlow Lite | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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