Edge AI Engineer
Tasks
- Apply quantization pruning and distillation
- Build cross platform inference runtimes
- Build privacy preserving telemetry pipelines
- Collaborate with hardware, firmware, and product teams
- Conduct responsible AI privacy and bias evaluation
- Deploy on device model update workflows
- Design Edge AI solutions
- Design hybrid edge cloud architectures
- Develop benchmarking suites for latency accuracy and energy
- Implement accelerator backend optimization
- Implement secure model protection on device
- Maintain technical documentation and runbooks
- Optimize ML models for edge constraints
Perks/Benefits
Skills/Tech-stack
Benchmarking | C++ | Core ML | DSP | Energy Efficiency | Federated Learning | Hybrid Cloud | Knowledge Distillation | Latency optimization | Machine Learning | Memory Optimization | Mobile GPUs | Model Compression | NPU | ONNX Runtime | Privacy Preservation | Pruning | Python | Quantization | Security | Telemetry | TensorFlow Lite
Education
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