Computer Vision
Tasks
- Apply quantization pruning and distillation
- Build and train video intelligence models
- Build inference services edge and cloud
- Build training and evaluation datasets
- Collaborate with hardware and software teams for integration
- Define annotation specs and quality standards
- Deploy computer vision models to production
- Implement model monitoring and versioning
- Monitor model drift and retrain models
- Optimize models for edge inference
Perks/Benefits
- N/A
Skills/Tech-stack
Annotation quality | Automated retraining | Computer Vision | Constrained Inference | Data labeling | Dataset development | Deep learning | Drift monitoring | Edge inference | Fine Tuning | Knowledge Distillation | MLOps | Model Drift | Model Pruning | Model Quantization | Model drift monitoring | Model versioning | NVIDIA Jetson | ONNX | Object Detection | On-device Inference | PyTorch | Python | Real Time | Real-time Inference | Resource-constrained inference | TensorFlow | TensorRT | Transfer Learning | Video Processing
Education
N/A
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