Data Scientist, Computer Vision
Tasks
- Build data and experiment pipelines
- Collaborate with data engineering product operations and quality
- Design datasets and labeling QC
- Export and serve models for production
- Implement model monitoring and drift detection
- Lead end to end computer vision classification
- Train evaluate and deploy deep learning models
Perks/Benefits
- Dental insurance
- Flexible work schedules
- Health insurance
- Inclusive work environment
- Mentorship programs
- Paid time off
- Retirement plan
- Sponsorship for continuing education
- Training opportunities
Skills/Tech-stack
A/B | A/B Testing | Albumentations | Augmentation | B testing | CI/CD | CNN | CVAT | Calibration | Confusion matrix | Cost Sensitive Loss | CutMix | DINO | Docker | Drift Detection | EfficientNet | Fine Tuning | Focal Loss | Grad-CAM | Human-in-the-loop | Keras | Label Smoothing | Label Studio | MAE | MixUp | Mixed Precision | Mixed-precision training | MoCo | Model Monitoring | NumPy | ONNX | OpenCV | OpenVINO | PR AUC | Pandas | PyTorch | Python | ROC-AUC | RandAugment | ResNet | Scikit-learn | Self-Supervised Learning | Self-supervised | SimCLR | Supervised Learning | Swin Transformer | TensorFlow | TensorRT | The Loop | Timm | Torchvision | Transfer Learning | ViT | Vision Transformer | Weak Supervised Learning
Education
Roles
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