Deep Learning Engineer (Radar Computer Vision)
Tasks
- Architect object detection frameworks for radar data
- Build segmentation and tracking models for radar imagery
- Develop dataset creation and labeling workflows
- Integrate models into live radar products
- Optimize neural networks for real time edge inference
- Translate raw signal processing into neural network architectures
Perks/Benefits
Skills/Tech-stack
Data Augmentation | Dataset labeling | Deep learning | Edge Computing | Image Segmentation | Neural Networks | Object Detection | Object Tracking | PyTorch | Python | Radar Signal Processing | Real Time | Real-time Inference | Signal Processing | TensorRT
Education
Regions
Countries
States
Cities
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