ONNX (Open Neural Network Exchange) is an open format for representing ML models. Train in PyTorch, convert to ONNX, deploy anywhere (iOS, edge, cloud). Used by ML engineers optimizing inference speed and cross-framework deployment. Specialists earn 30-40% premium for optimization expertise. Time to mastery: 12-16 weeks. Sits between ML frameworks and deployment.
ONNX (Open Neural Network Exchange) is an open-source format for representing machine learning models. It's framework-agnostic: train in PyTorch, convert to ONNX, and run on any platform (mobile, web, edge, cloud) using ONNX Runtime. The format defines a standard computation graph: inputs → operators (Conv, ReLU, etc.) → outputs. The value: train once, deploy anywhere. No vendor lock-in. Enables cross-platform inference, model optimization, and industry standardization.
| المنطقة | مبتدئ | متوسط | خبير |
|---|---|---|---|
| USA | $95k | $155k | $250k |
| UK | $60k | $95k | $155k |
| EU | $65k | $105k | $170k |
| CANADA | $100k | $160k | $260k |
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