NLP_ RS

Location: Bangalore
Specialization: IT Software - Application Programming / Maintenance
Sub Specialization:
Reference: 28200

POSITION DESCRIPTION: Natural Language Processing Research Scientist


We’re seeking Research Scientists in the area of Natural Language Processing who want to apply their skills to work at the leading edge of automation in industries such as customer care, healthcare, social media, and legal and compliance solutions, want to make their innovations real.

We work on problems which are at the intersection of natural language processing, machine learning, and graph analytics.

We apply deep learning, transfer learning, graph modelling, and computational linguistic techniques to novel domains.

We are looking for skilled, dedicated teammates who believe their contributions can make the world more productive and a better place to live.

The Natural Language Processing Senior Scientist will take a leadership role in a collaborative team, working with other researchers to explore, innovate and advance the fields of artificial intelligence, machine learning, deep learning, and natural language processing across the multiple industries that client serves.

Together the team will develop robust prototypes leading to new product offerings for our customers.

 The Natural Language Processing Senior research scientist will work with internal business division partners and clients to identify areas where natural language processing analytics will lead to increased efficiencies and lead projects to deliver these analytics. 

They will apply machine learning and other techniques to design and prototype intelligent, real world applications that intelligently extract understanding from text and/or audio sources.

 They will keep abreast of the latest developments in the field by participating in conferences and other venues and can champion promising, new methods to explore

 They will proactively identify new areas of research and in partnership with business groups develop value-based proposals for investment

 They will work in “Intrapreneurial” business teams to develop and commercialize user-centric, adaptive and robust systems Qualifications:

 Experience with one or more of Natural Language Processing, Artificial Intelligence, Machine Learning or Deep Learning with thesis research and post graduate job experience.  Strong publication record in top tier conferences.