JAVA NLP Engineer

Remote | Dice.com

San Francisco, CARemote OKFull-time$140k – $220k / year

About this role

JAVA NLP Engineer - Texas State Library and Archives Commision - Remote | Dice.com Texas State Library and Archives Commision JAVA NLP Engineer Remote • Posted 1 day ago • Updated 8 hours ago Full Time Remote USD 60.00 per hour Fitment Dice Job Match Score™ 📊 Calculating match score... Job Details Skills Named-Entity Recognition (NER) Text Mining Database Training Algorithms Statistics Java Health Care Ontologies Natural Language Processing Semantics Extraction Data Structure Modeling Design Software Python SQL Machine Learning (ML) Keras BERT Apache OpenNLP scikit-learn Analytical Skill Conflict Resolution Problem Solving --- Summary As an NLP Engineer, You will extract, interpret, and synthesize an extremely diverse set of diagnostic lab data - with the goal to standardize this data, making it machine readable, interoperable, and more discoverable and accessible. Successful candidates will have a strong understanding of NLP techniques and hands on experience with Java Responsibilities Designing and developing NLP applications for medical entity extraction and text mining Design Database to store NLP entities and relationship Using effective text representation techniques and classification algorithms Training and evaluating models Design end to end java applications Find and implement the right algorithms and tools for NLP tasks Perform statistical analysis of results and refine models Extend ML libraries and frameworks to apply in NLP tasks Remain updated in the rapidly changing field of machine learning Requirements Clinical NLP experience (cTakes, UIMA) Strong Java development experience Deep understanding of health care domain Familiarity with Ontology tools and technologies Proven experience as an NLP Engineer or similar role/Track record in NLP/NLU and related technologies Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling Ability to eff

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