Cleared Computer Vision Scientist
Tasks
- Build tools for feedback from production ML
- Collect preprocess and augment datasets
- Conduct experiments analyze results and improve accuracy and efficiency
- Create custom computer vision algorithms
- Deploy maintain and optimize ML models in production
- Design novel computer vision architectures
- Develop train fine tune and evaluate computer vision models
- Document code methodologies and experimental results
- Integrate computer vision algorithms into production systems
Perks/Benefits
Skills/Tech-stack
3D Vision | AWS | Airflow | Azure | Biometrics | C++ | Computer Vision | Convolutional Neural Networks | DVC | Data Augmentation | Deep learning | Docker | Geospatial analysis | GitLab CI | Google Cloud | Image Segmentation | Image Tracking | Image classification | Kubeflow | MLOps | MLflow | Machine Learning | Neural Networks | Object Detection | OpenCV | PyTorch | Python | TensorFlow | Transformers | Weights & Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Engineering | Master of Science | PhD
Regions
Countries
States
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