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We are combining industry leading news sources with cutting edge Artificial Intelligence (AI), Machine Learning (ML) and Natural language Processing (NLP) techniques, built on a near-real time platform. Your work will help maintain relationships between named entities and their identifiers, help uncover additional entity relationships and signals and improve overall content enrichment. This will allow customers unparalleled insight into the mission critical data needed to run their businesses.
Your job, as Assistant Director-Library Science is to use your expertise and experience to lead and implement initiatives in entity maintenance, signal discovery and refinement, tagging improvements problems via supervised and unsupervised learning, classification, knowledge graphs, relation and event extraction, taxonomies/ontologies, text analytics, and information retrieval. You will work closely with the Data Science and engineering team to leverage their findings and help implement in our products. We are looking for a team player that can help foster the next generation of news and knowledge products. The ideal candidate will be able to quickly grasp problems and craft realistic solutions in a collaborative manner. In addition to building future products, you will gain working knowledge of existing products and technologies of the business unit.