1. Preparing datasets and engaging in data labeling & data annotation
2. Performing data analysis & visualization
3. Understanding & implementing the latest research papers.
4. Developing state-of-the-art applications for object detection, image classification, text classification, 3D human pose estimation, object tracking, language modeling, etc.
5. Developing real-time computer vision algorithms
6. Writing clean, well-documented, and modular code in Python
7. Experimenting with model architectures, performing hyper-parameter tuning, doing transfer learning, etc.
8. Working on Python, Tensorflow, Pytorch, OpenCV, Django, AWS, MongoDB, Web Scraping, etc.
Skill(s) required
Computer VisionDeep LearningMachine LearningNatural Language Processing (NLP)Python
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