Job Description:



Join us, and tackle some of the most challenging problems in natural language processing and large scale applied machine learning. You will build cutting edge natural language understanding technologies and deploy them on a global scale.



+ Build data pipelines that clean, transform and aggregate data into databases and adopt data warehouse solutions in Azure

+ Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, writing applications, etc.).

+ Develop data pipelines that unify various data sources into one cohesive platform for data access.

+ Design and Develop an NLP engine and applications.

+ Develop sourcing, cleansing, structuring and ingesting new data sources.

+ Apply machine learning and predictive modeling techniques.

+ Develop creative solutions to business problems using mathematical algorithms.

+ Evaluate different NLP technology and tools.

+ Work on very large text-based & voice-based data sets, applying the latest techniques for entity recognition and sentiment extraction, with the goal of identifying features of real-time text, feeds, etc.

+ Develop the next generation voice engine to work in Indian & South East Asian Languages (Bangla, Bahasa, Vietnamese, etc.)



Requirements

What Expertise You’ll Add To The Team:



+ Experience with Machine Learning techniques for supervised & unsupervised learning e.g. CNN's, DNN's & RNN's.

+ Strong knowledge of Machine Learning frameworks such as Tensorflow & Keras.

+ Experience with Natural Language Processing.

+ Excellent programming skills preferably with Python & Java

+ Experience working with Unix/Linux based systems

+ Relevant NLP Skills

+ Word embeddings such as Word2Vec & Sentence2Vec, Wav2Vec

+ Machine Translation & Compilers

+ Text Classification & Clustering

+ Search Indexing & Fuzzy Matching

+ Data Analytics & Error Analysis

+ Machine Learning for NLP