Deep Learning Engineer
Tasks
- Build neural network architectures for object detection and tracking
- Design train and optimize deep learning models for detection segmentation and classification
- Document design choices clearly
- Evaluate emerging deep learning techniques and improve radar capabilities
- Implement automated labeling strategies
- Optimize neural networks for high performance edge inference
- Prepare preprocess and augment radar datasets for training
- Test model robustness under diverse field conditions
Perks/Benefits
Skills/Tech-stack
Computer Vision | Data Augmentation | Data Preprocessing | Data labeling | Deep learning | Edge Computing | Image Segmentation | Model Optimization | Neural Networks | ONNX | Object Detection | Object Tracking | PyTorch | Python | Radar Signal Processing | Signal Processing | TensorRT
Education
Regions
Countries
States
Cities
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