Must have two 2 years of experience with software development; data structures and algorithms; developing, debugging and maintaining code in objectoriented languages and database querying languages; utilizing machine learning concepts such as deep neural networks, RNNs, Seq2Seq, and Transformers; designing and developing scalable Machine Learning systems and annotation frameworks in Java and Python; NLP algorithms such as text classification, entity tagging, language modeling, sentence representations, and natural language generation; conducting research on stateoftheart models and utilizing research to improve NLU capabilities; existing ML frameworks and Modern NLP libraries such as Tensorflow, NLTK, spaCy, and coreNLP; conversational systems, dialog management, textual inference, entailment and question answering systems; utilizing computational linguistics concepts such as Thematic roles, word sense disambiguation, abstract meaning representations, event semantics and ontologies; all the steps in the NLP pipeline parsing, tokenization, named entity tagging, coreference resolution and semantic role labelling; data preparation and curation common to machine learning based systems; semantic parsing techniques, particularly involving VerbNet; and contributing towards the architecture, design patterns, reliability and scaling for new and current systems.br br Employer will accept any suitable combination of education, training or experience.
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