● Hands-on experience in effective solving NLP tasks like NER, intent identification, fact extraction, sentiment analysis, and the likes;
● Good command of Machine Learning tools and techniques for text processing and knowledge extraction (including but not limited to sk-learn, numpy, NLTK, spacy);
● 2+ years experience in Python coding;
● Experience in developing and customizing both rule-based and NLP pipelines written in spacy;
● Ability to deal with multiple natural languages;
● Experience with the dialogflow technology (or an alternative) is a huge benefit
●Intellectually and creatively stimulating work;
● Interesting salary;
● Work environment without bureaucracy and micromanagement;
● Flexible schedule and the ability to work remotely.
● Perform textual data preparation and analytics for further insights and feature extraction;
● Develop classification and clustering solutions to identify topic variety and intent taxonomy for a given domain;
● Create flexible dialog scenarios for a given domain;
● Implement from a scratch or enhance an entity extraction solution;
● Define and use extensively the most relevant quality and performance metrics, techniques, and tests for NLP pipelines and dialog flows.