This Job has stopped accepting applications
| 882 Views
EdGE Networks is hiring a Data Scientist who can collaborate with a platform, product, engineering to define specs and deliver iteratively.
ABOUT THE POSITION
As EdGE embarks on a journey from good to great, we are looking for energetic, experienced, and well-organized Scientists to join our team. As Data Scientist, you will work with a team, and own the delivery of product feature. Your work will directly translate into rich digital experience for our customers & users â?? HR Leaders, Planners, Hiring Managers, Resource Managers, Recruiters, Employees. Your knowledge about the applications and technologies will be a key input to our Product strategies.
Designing and developing new models and algorithms
Using ETL techniques on raw data to cleanse data sets for advanced analytics resulting in actionable insights
Rapidly prototype integration of latest research in the field into the product
Collaborate with platform, product, engineering to define specs and deliver iteratively
WHAT WE ARE LOOKING FOR
Experience in NLP(Machine translation, Sequence segmentation, Labeling and parsing, Knowledge extraction, Question answering, Multi text learning, ontology building), Machine Learning
Experience in Graphical Models(HMM, CRF), Learning to Rank(LTR), Recommendation systems, Text Retrieval
Scientific expertise and real-world experience in Deep Learning (RNN, LSTM, CNN, RBM)
Experience in Python, Scikit-learn, Pytorch, Keras, Tensorflow
Experience in Search Engines like Solr, Lucene, Elasticsearch is a plus
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.