Remote NLP ML Engineer - Build Next-Gen Language AI

AIToolboard

United States

Remote

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Entefy is seeking a Machine Learning Engineer specializing in natural language processing to join a high-impact team in the US. You will apply deep learning and related methods to confidential projects that influence Entefy’s product suite and user experiences.

We value strong foundations in ML, mathematics, statistics, and programming (Python, C/C++, Java). Fluency in English and clear communication are essential as you collaborate across product teams.

Qualifications

  • Strong foundation in mathematics, statistics, and ML theory.
  • Minimum 3 years of commercial NLP experience.
  • Proficient in at least one major programming language (Python, C, C++, Java).
  • Experience with text analytics, knowledge bases, MT, or dialog systems.
  • Proficiency with NLP tools (NLTK, CoreNLP, Gensim, spaCy, OpenNLP, UIMA, GATE).
  • Experience with ML tools (TensorFlow, Keras, Caffe, Theano, Torch).
  • English fluency with excellent communication.

Responsibilities

  • Work on confidential NLP projects using deep learning to advance Entefy products.
  • Build and optimize NLP systems for text analytics, translation, or dialog tasks.
  • Collaborate with teams to deploy models in production.

Skills

Math & ML theory
NLP experience
English fluency
Written & verbal communication
Multiple programming languages

Education

Advanced degree in Computer Science, ML, or related field

Tools

NLTK/CoreNLP/Gensim/spaCy
TensorFlow/Keras/Caffe/Theano/Torch
Lucene/Solr/Elasticsearch
Hadoop/MapReduce/Spark

Job description

Entefy is seeking a Machine Learning Engineer specializing in natural language processing to join a high-impact team in the US. You will apply deep learning and related methods to confidential projects that influence Entefy’s product suite and user experiences.

We value strong foundations in ML, mathematics, statistics, and programming (Python, C/C++, Java). Fluency in English and clear communication are essential as you collaborate across product teams.

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