Ai算法工程师-生态链
Tasks
- Build computer vision models for detection keypoint classification segmentation tracking
- Develop and deploy on device image algorithms for smart home devices
- Manage collect clean label and analyze training data
- Optimize models using pruning distillation quantization
- Quantize and deploy models on embedded or chip platforms for accelerated inference
- Research lightweight vision algorithms and validate prototypes
- Train tune and evaluate models for edge compute constraints
Perks/Benefits
Skills/Tech-stack
C++ | Computer Vision | Deep learning | Edge Computing | Embedded Systems | Image Segmentation | Image classification | Keypoint detection | Knowledge Distillation | Linux | Model Deployment | Model Pruning | Model Quantization | Object Detection | Object Tracking | OpenCV | PyTorch | Python | TensorFlow
Education
Roles
AI | AI Engineer | Computer Vision Engineer | Engineer | Vision Engineer
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