- Understanding of probability, linear algebra, and convex/non-convex optimization.
- Knowledge of Various deep learning architectures- CNN, LSTM, GAN, Transformers etc.
- Experience in developing and debugging in Python.
- Strong experience with any of deep learning libraries, e.g., Tensorflow, PyTorch.
- Experience in working with GPU and GitHub.
- Ability to read and Understand papers from top-tier conferences like CVPR, ICCV, ECCV, ICLR, etc.
- Strong experience in Linux.
Desirable:
- At least 1 years of research experience in deep learning.
- Track record of publishing papers at good venues.
Educational qualification:
B.tech./M.tech/ M.Sc. in the relevant field.