Data Scientist

You will be responsible for building, improving, and extending NLP capabilities. Your tasks will include selecting proper annotated datasets for supervised learning techniques, using effective text representation techniques to develop useful features, identifying and utilizing correct algorithms for specific NLP projects, developing NLP projects as per prescribed requirements, training developed NLP models, and evaluating their effectiveness. Additionally, you will conduct statistical analyses of models, adjust models where necessary, and extend machine learning frameworks and libraries for NLP projects. The ideal candidate should have 2-4 years of experience in Analytics and Machine Learning & Deep Learning, including expertise in areas such as Sentiment Analysis, Text Mining, Entity Extraction, Document Classification, Topic Modeling, Natural Language Understanding (NLU), and Natural Language Generation (NLG). You are expected to possess good experience in Web Scraping or data extraction through Selenium/Scrapy or other frameworks and related libraries like BeautifulSoup. Knowledge of advanced scraping techniques such as overcoming captcha, proxy, browser fingerprinting, and bot detection bypassing is preferred. You should have a working knowledge of various databases like MySQL, HBase, MongoDB, message queues, and Web RestFul APIs. Expertise in open-source NLP toolkits such as CoreNLP, OpenNLP, NLTK, Gensim, LingPipe, Keras, TensorFlow, Mallet, ML/math toolkits like scikit-learn, MLlib, Theano, NumPy, etc., is essential. Experience in testing and deployment of machine learning/deep learning projects on the desired platform is required. Strong logical and analytical skills along with good soft and communication skills are desired qualities. Desirable certifications for this role include Google Tensor Flow, Hadoop, Python, PySpark, SQL, and R.,