Role Focus
Machine Learning Engineers
Edge AI, TinyML, and embedded machine learning.
Machine learning engineers deploying at the edge need both ML expertise and embedded systems knowledge. RunTime places ML engineers with experience in model training, quantisation, and deployment on constrained hardware for medical, industrial, and agricultural applications.
Key Skills We Screen For
- ✓PyTorch and TensorFlow model training
- ✓TensorFlow Lite and ONNX edge inference
- ✓Nvidia Jetson, Hailo, and NPU deployment
- ✓Model quantisation and hardware acceleration