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ML Engineer - NLP (Remote Position)

Remote: 
Full Remote
Contract: 
Full time
Work from: 
United States

Offer summary

Qualifications:

Solid fundamentals in mathematics, statistics, and machine learning theory., Minimum 3 years of experience in natural language processing., Proficiency in programming languages such as Python, C, or Java., Experience with NLP tools and machine learning frameworks like TensorFlow and Keras..

Key responsabilities:

  • Develop and implement NLP algorithms for Entefy's products.
  • Work on confidential projects that enhance human communication.
  • Collaborate with a high-impact team to drive innovation in machine intelligence.
  • Utilize deep learning techniques to solve complex NLP challenges.

Entefy logo
Entefy TPE https://www.entefy.com/
11 - 50 Employees
See all jobs

Job description

If you’re fluent in natural language processing, you may be the hyper-talented Machine Learning Engineer that’s going to help Entefy rewrite the code of human communication.

We are looking for a talented and driven NLP specialist to join a high-impact team at the core of Entefy’s mission. You will use deep learning and other methods to work on confidential projects that will impact Entefy’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 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 than one applicable programming languages is a plus
    •

    Required profile

    Experience

    Spoken language(s):
    English
    Check out the description to know which languages are mandatory.

    Hard Skills

    Natural Language Processing (NLP)Machine LearningDeep LearningComputer ProgrammingApache OpenNLPCaffe (Framework)Quality GateAnalyticsKeras (Neural Network Library)Torch (Machine Learning)Dialog SystemsTheano (Software)MapReduceGensim (NLP Software)StatisticsApache StormApache Sparkmlpack (C++ Library)CorelDRAW (Corel Software)Machine TranslationKnowledge BaseTensorFlowInformation RetrievalNLTK (NLP Analysis)SpaCy (NLP Software)Apache HadoopAttention Mechanisms

    Other Skills

    • Mathematics
    • Communication
    Are you interested?

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