Senior Machine Learning Engineer
Tasks
- Apply classical computer vision and image processing methods
- Build evaluation pipelines and production regression monitoring
- Evaluate computer vision and biometrics research
- Improve biometric identification and anti spoofing models
- Improve face image collection and labeling inspect failure modes
- Lead applied machine learning initiatives end to end
- Monitor data drift score distribution and attack patterns
- Own face machine learning projects end to end
- Shape evaluation methodology experimentation discipline and model versioning standards
- Train and iterate deep learning architectures losses and data pipelines
- Write design documents experiment reports and technical proposals
Perks/Benefits
- N/A
Skills/Tech-stack
Calibration | Computer Vision | Data Drift | Data Pipelines | Deep learning | Hyperparameter Tuning | Image Processing | Loss Functions | MLOps | Machine Learning | Metrics | Model Evaluation | Model Training | Monitoring | NumPy | OpenCV | Optimization | PyTorch | Python | Regression Analysis
Education
N/A
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