AI Engineering Advanced
AI On-Device AI Engineer
An AI On-Device AI Engineer specializes in deploying, optimizing, and running machine learning models on edge hardware-smartphones…
Demand 9.1/10
AI Risk 15%
Salary $130,000-$220,000/yr
Model compression techniques: pruning, quantization-aware training, knowledge distillation, and low-rank factorizationEdge inference frameworks: TensorFlow Lite, ONNX Runtime Mobile, Core ML, ExecuTorch, and Apache TVMHardware acceleration targets: ARM NEON/SVE, Qualcomm Hexagon DSP, Apple Neural Engine, NVIDIA Jetson, Google Edge TPUQuantization mastery: INT8, INT4, mixed-precision, calibration datasets, and per-channel vs. per-tensor schemes +8