Senior Applied Computer Vision Engineer
Tasks
- Adapt models using transfer learning domain adaptation data augmentation fine tuning
- Define evaluation metrics testing strategies and quality assurance processes
- Deploy scalable machine learning solutions for inference monitoring and reliability
- Design geometric computer vision solutions for camera calibration homography estimation field registration coordinate mapping
- Develop production computer vision models for sports video analytics
- Evaluate vision pipelines and improve accuracy scalability robustness
- Execute experiments for dataset creation augmentation model training and evaluation
- Improve object detection tracking event recognition identity association
- Lead technical initiatives from research prototyping to deployment
Perks/Benefits
- 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 | Coordinate mapping | Data Augmentation | Data Quality | Deep learning | Domain Adaptation | Event recognition | Experimentation | Fine Tuning | GPU Computing | Homography Estimation | Identity Association | Inference Optimization | MLOps | Model Evaluation | Multi-object Tracking | Object Detection | Object Tracking | Projective geometry | PyTorch | Python | Transfer Learning | Video Analytics
Education
N/A
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