Deep Learning Scientist
EdGE Networks | Bangalore,Karnataka,India
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Short Description

EdGE Networks is looking for Deep Learning Scientist who has the 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).

Job Description

Roles and 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, conventional neural networks, restricted Boltzmann machines, and deep neural networks) â?? 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, Tensor Flow, 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 | Technology | Information Full-time Other | Information Technology Neural Networks | Data Scientist | Deep Learning
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.