Deep Learning Scientist

Short Description

EdGE Networks is looking for Deep Learning Scientist who has 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.

Job Description

Responsibilities:
  • 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.

Deep Learning Scientist
Mid-Senior-level Information | Technology | Information Technology Full-time Information Technology | Other | Engineering Database | Data Scientist
Incorporated in 2012 by  Arjun Pratap, Edge Networks dreams to change the way HR industry works right now. With an ever increasing number of job seekers, the process of finding a right match for a particular job profile today has become extremely cumbersome. With Data Science and Artificial Intelligence at its core, Edge Networks has developed their product HIREalchemy to match people with the required job. The solution provided by them facilitates talent acquisition, internal workforce optimization and talent analytics. Edge Networks was featured in Nasscom's Emerge 50 2016 list.