Edge AI Engineer
Tasks
- Apply model quantization pruning distillation and compression
- Build edge inference runtimes
- Build privacy preserving telemetry pipelines
- Design Edge AI solutions
- Design hybrid edge cloud architectures
- Develop benchmarking suites for accuracy latency and energy
- Drive responsible AI bias evaluation and on device privacy
- Implement model update versioning and rollback workflows
- Implement secure execution paths model protection and integrity verification
- Optimize models for latency energy and memory
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Core ML | Device security | Edge inference | Energy optimization | Knowledge Distillation | Latency optimization | Machine Learning | Model Benchmarking | Model Compression | Model Deployment | ONNX Runtime | On-device security | Performance Profiling | Pruning | Python | Quantization | TensorFlow Lite
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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