Senior Applied Computer Vision Engineer
Tasks
- Adapt models to new sports and video conditions
- Create and augment datasets for training
- Define evaluation metrics and QA processes
- Deploy machine learning solutions to production
- Design geometric vision solutions
- Develop production computer vision models
- Evaluate model performance and failures
- Improve inference performance and reliability
- Lead technical initiatives from research to deployment
- Optimize video analytics pipelines
Perks/Benefits
- Career development opportunities
- Coworking space option
- Flexible working hours
- Fully remote
- Home office equipment allowance
- No business travel
- Paid sick leave
- Paid vacation
Skills/Tech-stack
Camera Calibration | Computer Vision | Data Augmentation | Deep learning | Domain Adaptation | Event recognition | Fine Tuning | GPU Computing | Homography Estimation | Identity Association | MLOps | Model Fine-tuning | Model Training | Monitoring | Multi-object Tracking | Object Detection | Object Tracking | Projective geometry | PyTorch | Python | Quality Assurance | Testing | Transfer Learning | Video Analytics | Video Processing
Education
N/A
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