ML Engineer - NLP

December 22, 2022

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Entefy

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Artificial Intelligence • Digital Communication • Mobile • Internet of Things • Big Data

11 - 50

💰 $5M Funding Round on 2021-08

Description

• Work on confidential projects that will impact Entefy's suite of products • Use deep learning and other methods to work on confidential projects • Engage your deep understanding of algorithms to build never-before-seen machine intelligence • Demonstrate proficiency in at least one programming language such as Python, C, C++, Java, etc. • Proficient knowledge of and experience with text analytics, knowledge base construction, machine translation, or dialog systems • Proficiency in natural language processing tools such as NLTK, CoreNLP, Gensim, spaCy, OpenNLP, UIMA, GATE, etc. • Proficiency in machine learning tools such as TensorFlow, Keras, Caffe, Theano, MLLib, Torch, etc. • English fluency • Excellent written and verbal communication skills

Requirements

• Solid fundamentals in mathematics, statistics, and machine learning theory • Minimum 3 years of commercial experience (or equivalent) in natural language processing, understanding, or generation • Demonstrable proficiency in at least one programming language such as Python, C, C++, Java, etc. • Proficient knowledge of and experience with text analytics, knowledge base construction, machine translation, or dialog systems • Proficiency in natural language processing tools such as NLTK, CoreNLP, Gensim, spaCy, OpenNLP, UIMA, GATE, etc. • Proficiency in machine learning tools such as TensorFlow, Keras, Caffe, Theano, MLLib, Torch, etc. • English fluency • Excellent written and verbal communication skills • Other qualifications: • Experience with modern deep learning techniques in NLP including sequence to sequence models, distributed representations, pointer networks, attentional models, etc. • Advanced degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics • Experience with text-based information retrieval technologies such as Lucene, Solr, Elasticsearch, etc. • Experience with big data and distributed computing technologies such as Hadoop, MapReduce, Spark, Storm, etc. • Fluency in multiple languages is a plus • Demonstrable proficiency in more

Benefits

• The company offers competitive salary and benefits. • The company offers a variety of benefits, such as 401(k) and health insurance. • The company offers a company culture that is supportive and encouraging. • The company offers a variety of opportunities for advancement.