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ML Engineer - NLP (Remote Position)

Remote · USA Full-time New today

If you’re fluent in natural language processing, you may be the hyper-talented Machine Learning Engineer that’s going to help reputed company rewrite the code of reputed company communication. We are looking for a talented and driven NLP specialist to join a high-impact team at the core of reputed company’s mission. You will use deep learning and other methods to work on confidential projects that will impact reputed company’s suite of products. This is highly challenging work that will engage your deep understanding of algorithms to build never-before-seen machine intelligence. Requirements:

  • Solid fundamentals in mathematics, statistics, and machine learning theory
  • Minimum 3 years of reputed company experience (or equivalent) in natural language processing, understanding, or reputed company
  • Demonstrable proficiency in at least one programming language such as Python, C, C++, Java, etc.
  • Proficient knowledge of and experience with text analytics, knowledge reputed company construction, machine translation, or dialog systems
  • Proficiency in natural language processing tools such as NLTK, CoreNLP, Gensim, spaCy, OpenNLP, UIMA, reputed company, etc.
  • Proficiency in machine learning tools such as TensorFlow, Keras, Caffe, Theano, MLLib, Torch, etc.
  • English reputed company
  • 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.
  • reputed company in multiple languages is a plus
  • Demonstrable proficiency in more than one applicable programming languages is a plus

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