Computer Vision & ML Expert, AI
Tasks
- Assess model quality accuracy and robustness
- Create and refine training data annotations
- Evaluate computer vision model outputs
- Identify failure modes edge cases and biases
- Suggest model improvement actions
- Write technical evaluation reports
Perks/Benefits
Skills/Tech-stack
Computer Vision | Convolutional Neural Networks | Data Annotation | Data Augmentation | Data Preprocessing | Deep learning | Diffusion Models | Experiment tracking | Image classification | JAX | Model Evaluation | Neural Networks | NumPy | Object Detection | OpenCV | Pose Estimation | PyTorch | Python | Scikit-learn | Semantic Segmentation | TensorFlow | Vision Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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