NLP ML Engineer - Shape Next-Gen Language AI

Carbon Data Solutions

United States

Remote

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

Entefy is seeking a talented NLP specialist to join a high-impact team at the core of its mission. You will use deep learning and other methods to work on confidential projects that will impact Entefy's suite of products.

You will collaborate on challenging tasks requiring strong math, statistics, and ML theory, with emphasis on text analytics, dialog systems, and scalable NLP solutions.

Qualifications

  • 3+ years of commercial NLP experience
  • Strong fundamentals in math, stats and ML theory
  • Proficient in at least one programming language such as Python, C, C++, Java
  • Experience with text analytics, knowledge base construction, MT, or dialog systems
  • Proficiency with NLP tools like NLTK, CoreNLP, Gensim, spaCy, OpenNLP, UIMA, GATE
  • Experience with ML tools like TensorFlow, Keras, Caffe, Theano, MLLib, Torch
  • English fluency and excellent communication skills
  • Advanced degree in CS, ML, Math, Statistics, Physics, or Computational Linguistics
  • Experience with information retrieval tech like Lucene/Solr/Elasticsearch
  • Experience with big data and distributed computing like Hadoop, Spark, Storm
  • Multilingualism is a plus
  • Proficiency in more than one programming language is a plus

Responsibilities

  • Work on confidential NLP projects at Entefy
  • Apply deep learning and other methods to advance Entefy products
  • Build scalable NLP systems and models with state-of-the-art techniques

Skills

NLP fundamentals
Deep learning
Python
Communication
Mathematics

Education

MS/PhD in CS/ML

Tools

NLTK
SpaCy
CoreNLP
OpenNLP
GATE

Job description

Entefy is seeking a talented NLP specialist to join a high-impact team at the core of its mission. You will use deep learning and other methods to work on confidential projects that will impact Entefy's suite of products.

You will collaborate on challenging tasks requiring strong math, statistics, and ML theory, with emphasis on text analytics, dialog systems, and scalable NLP solutions.

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