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ML Engineer - NLP (Remote Position)

Entefy

Role overview

Qualifications

  • Solid fundamentals in mathematics, statistics, and machine learning theory
  • Minimum 3 years of commercial experience (or equivalent) in natural language processing, understanding, or generation
  • Proficient knowledge of at least one programming language (Python, C, C++, Java, etc.)
  • Proficiency with NLP tools (NLTK, CoreNLP, spaCy, OpenNLP, UIMA, GATE) and ML frameworks (TensorFlow, Keras, Caffe, Theano, Torch, etc.)

Responsibilities

  • Use deep learning and other methods to develop NLP solutions for confidential projects impacting Entefy’s product suite
  • Apply strong algorithmic knowledge to build novel machine intelligence in natural language processing
  • Collaborate with a high-impact team to advance Entefy’s mission and product capabilities
  • Translate research into production-ready NLP systems and contribute to design, implementation, and optimization of NLP components

About the company

Entefy logo

Entefy

Artificial Intelligence & Machine Learning Services

Entefy is an enterprise AI software and automation company. Entefy's multisensory AI technology delivers on the promise of the intelligent enterprise, at unprecedented speed and scale (think 15,000x performance improvement to Entefy customers). Entefy products and services help organizations transform their legacy systems and process—everything from knowledge management to workflows, cybersecurity, data privacy, customer engagement, forecasting, and more. Entefy’s customers vary in size from SMEs to $100+ Billion US and global public companies across a number of industries including financial services, health care, retail, and manufacturing. With 250,000 hours invested in advanced R&D (including contributions from more than 100 scientists and engineers), Entefy has created a rich IP portfolio spanning 100s of trade secrets and patents combined. Get started at www.entefy.com.

Company details

Company typeTPE
IndustryArtificial Intelligence & Machine Learning Services
Company size11 - 50

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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
    •

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    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
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