Computer Vision/ML Engineer
Tasks
- Build and maintain MLOps pipelines
- Contribute to computer vision stack architecture
- Design fine tune deploy computer vision models
- Develop video processing pipelines
- Establish engineering best practices
- Integrate classical signal processing with ML
- Optimize models for edge deployment
- Reduce technical debt
Perks/Benefits
Skills/Tech-stack
C++ | Computer Vision | Data Structures | Edge AI | Embedded Systems | Facial Landmark Detection | InsightFace | Landmark detection | MLOps | MediaPipe | Model Training | Model Validation | NVIDIA Triton | Object Tracking | Performance Monitoring | Pose Estimation | Pruning | PyTorch | Python | Quantization | Sensor fusion | Signal Processing | TensorRT | Video Processing | YOLO
Education
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