Computer Vision AI/ML Engineer
Tasks
- Build object detection algorithms
- Build object tracking algorithms
- Develop crossview matching algorithms
- Develop image segmentation algorithms
- Develop optical flow algorithms
- Develop perception algorithms
- Evaluate computer vision models
- Implement real time edge vision deployment
- Integrate hardware and software
- Present results to customers
- Prototype neural network models
- Support field demonstrations of vision software
- Train machine learning models
Perks/Benefits
Skills/Tech-stack
Apache TVM | C++ | Computer Vision | Convolutional Neural Networks | Crossview Matching | Deep learning | Edge Computing | Flow Estimation | Image Segmentation | Linux | MATLAB | Machine Learning | Model Evaluation | NVIDIA CUDA | NVIDIA Jetson | Network training | Neural Network | Neural Networks | Neural network training | Object Detection | Object Tracking | OpenCV | Operating System | Optical Flow | Optical Neurons Convolutional Neural Networks | Optical flow estimation | Photogrammetry | PyTorch | Python | ROS | Robot Operating | Robot Operating System | SFM | SLAM | Sensor fusion | Structure from Motion | TensorFlow | TensorRT | ViT | Vision Transformers | Visual Odometry
Education
Roles
AI | AI/ML Engineer | Computer Vision Engineer | Engineer | ML Engineer | Vision Engineer
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