Computer Vision Lead
Tasks
- Collaborate with cross functional data and software teams
- Define computer vision strategy and roadmap
- Deploy computer vision solutions and document results
- Develop computer vision models algorithms and solutions
- Evaluate computer vision model performance
- Lead computer vision engineering team
- Object detection event detection and change detection
- Oversee end to end project lifecycle for computer vision
- Perform image and video analysis
- Preprocess and augment computer vision data
- Recognition segmentation and tracking
- Recruit and onboard new team members
- Report project milestones and timelines
- Train and optimize computer vision models
Perks/Benefits
- Collaborative and inclusive work environment
- Flexible work arrangements
- High impact work environment
- Professional development opportunities
Skills/Tech-stack
2D Object Detection | 3D Object Detection | AWS | Agile | Azure | C++ | CI/CD | CUDA | Camera Pose Estimation | Cloud Computing | Data Augmentation | Edge AI | Feature Matching | Feature extraction | Git | Google Cloud | Instance Segmentation | Keras | Learning operations | Machine Learning | Machine Learning Operations | Model Training | Monitoring | NIR | ONNX | Object Detection | OpenCV | OpenGL | Point clouds | Pose Estimation | PyTorch | Python | Radar | SLAM | SWIR | Sensor Calibration | Sensor fusion | Structure from Motion | Telemetry | TensorFlow | TensorRT | Video Streaming | Video codecs | YOLO
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Computer Vision Engineer | Computer Vision Lead | Engineer | Lead | Vision Engineer
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