Computer Vision Engineer
Tasks
- Build metrics and automated tools to assess data quality model performance and algorithm accuracy
- Design segmentation registration SLAM sensor calibration and photogrammetry algorithms
- Develop and optimize AI based and classical computer vision solutions
- Develop synthetic data generation validation and quality evaluation methods
- Evaluate and improve algorithm performance robustness and scalability
- Integrate computer vision solutions into production systems
- Research computer vision algorithms for images video and 3D data
Perks/Benefits
- N/A
Skills/Tech-stack
3D processing | Algorithm Design | Computer Vision | Data Generation | Data Quality | Data Quality Evaluation | Image Processing | Model Training | Multi Sensor | Multi-sensor Fusion | Performance Metrics | Photogrammetry | Quality evaluation | Registration | SLAM | Segmentation | Sensor Calibration | Sensor fusion | Synthetic Data Generation | Synthetic data | Video Processing
Education
Roles
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