Senior Applied Computer Vision Engineer
Tasks
- Analyze failure modes and improve pipelines
- Build dataset and augmentation pipelines
- Define evaluation metrics and testing strategies
- Deploy machine learning solutions to production
- Design camera calibration solutions
- Develop production computer vision models
- Estimate homography and mapping
- Evaluate model performance and robustness
- Monitor models in production
- Optimize inference performance
- Train and fine-tune deep learning models
Perks/Benefits
- Coworking space option
- Flexible working hours
- Fully remote
- Home office equipment allowance
- No business travel
- Paid vacation
- Sick leave
- Technical growth
Skills/Tech-stack
Backend systems | Camera Calibration | Cloud infrastructure | Computer Vision | Data Augmentation | Dataset creation | Deep learning | Domain Adaptation | Event recognition | Fine Tuning | GPU Acceleration | Geometric Computer Vision | Homography Estimation | Identity Association | MLOps | Model Evaluation | Model Training | Multi-object Tracking | OCR | Object Detection | Object Tracking | PyTorch | Python | Transfer Learning | Video Analytics
Education
N/A
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