Deep Learning Scientist

EdGE Networks is a leading skill development and technology solutions provider. Our vision is to 'continuously and constantly develop skills' to empower industries and human resources with products, solutions and services that engage in skill development. EdGE's trump card lies in its ability to identify skill gaps, and attain skills that empower employment using technology.

Strong publication record (e.g., NIPS, ICML, CVPR, ICCV papers) and/or industry experience.

Scientific expertise and real-world experience in deep learning (Recursive neural networks, Recurrent neural networks, convolutional neural networks, restricted Boltzmann machines, and deep neural networks) – applied to NLP.

Experience in applying machine learning to problems in NLP.

Natural language processing: sequence segmentation, labeling and parsing, knowledge extraction, question answering, multi text learning etc.

Ability to come up with practical algorithms and write solid code quickly in a programming language (such as C++, Python, Scala, Java, GPU CUDA programming).

Extensive experience with a neural network library such as Caffe, Keras, Tensorflow, or Torch.

Rapidly prototype integration of latest research in the field into the product.

Ability to work independently and be self-driven.

Passion to work for Startup companies.

MS - Computers

PhD - Comouters