Job Description

such as text classification, semantic search, information extraction/retrieval, sentiment analysis, Bayesian classification, POS tagging, NER, shallow parsing, language modeling, clustering, and ontology & taxonomy. Program in Python (R is also desired). Use SQL and NoSQL databases like PostgreSQL, MongoDB, Cassandra. Manage source code with systems like GIT, SVN. Knowledge of search engines, information retrieval, spam detection, recommendation systems, social networks, machine learning, and NLP is a plus. Good knowledge of Elastic Search/Lucene is a plus. Experience with knowledge graphs and traditional conversational AI. Bachelors or masters with 6-10 years of experience in NLP. Strong programming skills in Python. Proficiency in SQL and NoSQL databases. Experience with source code management systems. Knowledge of search engines and information retrieval. Good knowledge of Elastic Search/Lucene. Experience with knowledge graphs and traditional conversational AI. Excellent problem-solving and analytical skills. Strong communication and teamwork skills.