Natural Language Processing Engineer
at Niki.ai
2 - 7 yrs
₹10L - ₹30L / yr
Bengaluru (Bangalore)
Skills
Natural Language Processing (NLP)
text mining
data regression
Niki is an artificially intelligent ordering application (niki.ai/app). Our founding team is from IIT Kharagpur, and we are looking for a Natural Language Processing Engineer to join our engineering team.
The ideal candidate will have industry experience solving language-related problems using statistical methods on vast quantities of data available from Indian mobile consumers and elsewhere.
Major responsibilities would be:
1. Create language models from text data. These language models draw heavily from statistical, deep learning as well as rule based research in recent times around building taggers, parsers, knowledge graph based dictionaries etc.
2. Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
3. Work closely with product teams to implement algorithms that power user and developer-facing products
We work mostly in Java and Python and object oriented concepts are a must to fit in the team. Basic eligibility criteria are:
1. Graduate/Post-Graduate/M.S./Ph.D in Computer Science/Mathematics/Machine Learning/NLP or allied fields.
2. Industry experience of 2-7 years.
3. Strong background in Natural Language Processing and Machine Learning
4. Have some experience in leading a team big or small.
5. Experience with Hadoop/Hbase/Pig or MaprReduce/Sawzall/Bigtable is a plus
Please share your resume to [email protected]
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About Niki.ai
Founded :
2015
Type :
Services
Size
Stage :
Raised funding
About
Niki is a digital localised agent that aims to bring household consumption online for 500 million new internet users. It provides a natural and user-friendly experience to convert users into consumers by removing barriers such as complicated interfaces, language, and inhibitions regarding digital services. Niki is available 24x7 and ensures that every task is successfully completed, encouraging people to save time and leave their digital services-related worries to her.
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