Job description Role & responsibilities Build, Improve and extend NLP capabilities. Select the proper annotated datasets for supervised learning techniques. Use effective text representation techniques to develop useful features. Identify and utilize the correct algorithms for specific NLP projects. Develop NLP projects in accordance with prescribed requirements. Train developed NLP models and evaluated their effectiveness. Conduct statistical analyses of models, and adjust models where possible. Extend machine learning frameworks and libraries for NLP project. Preferred candidate profile 2 - 4 years experience in Analytics and Machine Learning & Deep learning(Sentiment Analysis, Text Mining, Entity Extraction, Document Classification, Topic Modeling, Natural Language Understanding (NLU) and Natural Language Generation (NLG)). Good Experience in Web Scraping or data extraction through Selenium/Scrapy or other frameworks and related libraries (like beautifulsoup). Knowldge of advanced scraping techniques (like overcoming captcha, proxy, browser fingerprinting, bot detection bypassing,etc) Working knowledge in various DBs(MySQL, HBase, MongoDB), message queues & Web RestFul APIs. Expertise in open-source NLP toolkits such as CoreNLP, OpenNLP, NLTK, gensim, LingPipe, Keras, Tensorflow, Mallet, ML/math toolkits such as scikit-learn, MLlib, Theano, NumPyetc. Experience of Testing & deployment of Machine learning/deep learning projects in the desired platform. Strong Logical & Analytical skills with good soft & communication skills. Certifications Certification in Google Tensor Flow, Hadoop, Python, PySpark, SQL, R is desirable.,
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Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Data Scientist Job in Reserve Bank Information