About our client Our client supports your autonomy, independence, and growth. As a purely commercial firm, there are no timecards or clearances, and they offer unlimited PTO and flexible work arrangements. Professional development opportunities include conference travel and dedicated time for independent projects. Perks include free coffee, sodas, and snacks, a pool table, waffle Fridays, a gym, and proximity to the Wiehle Avenue Metro station. Finally, as a member of a small and growing team at a medium-size company, you will be able to have significant direct impact on their products and customers and will help shape the direction of NLPML. About the role As an NLP Software Engineer, you ll apply methods from NLP and Machine Learning and to massive volumes of customer data. You ll support and enhance a stack that includes morphological analysis, tagging, NER, parsing, keyword extraction, classification, information retrieval, and summarization. You ll also work with multilingual data since we support 18 languages and are continually expanding. The work has an RD component but with a practical focus on applying methods from open source and the research literature to high-volume production pipelines. As such, you ll need solid development skills in Java and Python with experience in software testing, integration, and deployment. You ll work in a collaborative AgileScrum development environment where you ll mentor junior team members and in turn receive mentorship from others About you We will consider candidates with industry experience and a demonstrated track record in NLP and Machine Learning. While we don t expect any single person to be proficient in all of the areas below, a significant subset is needed Advanced training in NLP andor Machine Learning Proficiency in Java andor Python (5+ years of experience) Tools and libraries spaCy, sci-kit learn, fastText, word2vec, TensorFlow, SyntaxNet, TensorFlow Serving Data collection and management scrapingmunging, taggingannotation, lexicons, curating training data for supervised learning Data repositories relational and NoSQL databases (eg PostgreSQL, Elasticsearch) Microservices eg Spring Boot, Flask, Protocol Buffers, GRPC Containerization and distributed computing Docker, Kubernetes, KafkaI Interested candidates can send their resume to nini at avestacs dot com