Remote NLP Engineer openings near you -Updated September 18, 2022 - Remote Tech Jobs

Role requiring'No experience data provided' months of experience in None Architect data ingestion and text processing pipelines that will enable the development of useful tools and applications, including literature classification, chatbots, text summarization systems, and more. Qualifications: • Bachelor's Degree in computer science or related field and 4 years of experience; Masters Degree and 2 years experience • Advanced Python skills • Expertise in data structures and principles of optimal algorithm design • Experience working with large-scale data ingestion, both SQL (e.g., Hive, Impala) and NoSQL (e.g., Neo4J) • Some experience with NLP processing pipelines and/or text analysis • Interest in NLP and desire to learn about state-of-the-art NLP systems • Broad knowledge of AI/ML is a bonus, but is not required • Demonstrated ability to work with cloud infrastructure and tools (e.g., AWS, Cloudera) • Proficiency in a secondary programming language (e.g., Scala, Java) is preferred • Ability to multi-task and work within timelines Apply Here For Remote NLP Ops Engineer roles, visit Remote NLP Ops Engineer Roles Role requiring'No experience data provided' months of experience in New York Getty Images works with over 496,000 contributors and image partners around the globe who add 8-10 million new assets each quarter to the 495 million assets contained in our catalogue. There are 2 fundamental questions the Getty Images Search & Ranking Team are working to solve: "If an image is worth a thousand words, wouldn't it be nice if we didn't have to type a thousand words to find it?" And: "What do we do when an image is your search query, instead of text entered into a field" To find a solution to these questions we are building a highly efficient, Artificially Intelligent (AI) Image search engine that pushes the boundaries of Natural Language Processing (NLP) and Visual Search Machine Learning (ML) The Search Team at Getty Images is responsible for building something that has never been built before. On a scale that will challenge the best of the best Engineers and Data Scientists alike.