Experience using ML frameworks such as TensorFlow and PyTorch.
BS and a minimum of 3 years of industry experience.
Hands-on experience in areas like biometrics, object detection, landmark detection, and semantic segmentation.
Theoretical and practical understanding of modern deep learning techniques such as vision transformers, encoder-decoder architectures and multi-modality.
Solid mathematical foundation in linear algebra and probability theory.
Understanding of classical image processing and 3D computer vision fundamentals.
Familiarity with distributed computing.
Excellent communication and collaboration skills.
Creativity and curiosity for solving highly complex problems.
MS or PhD in related field.
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