ML Engineer - NLP

The Motley Fool
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

C
Java
Artificial Intelligence
Big Data
C++
Apache Lucene
Computational Linguistics
Distributed Systems
Elasticsearch
Hadoop
MapReduce
Information Retrieval
Python
Machine Learning
Machine Translation
Natural Language Processing
NLTK
TensorFlow
Azure
Solr
Corenlp
Spark
Caffe
Deep Learning
Theano
Keras
Information Technology
Gensim
Opennlp
Text Analysis
Spacy
Programming Languages

Requirements

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., * 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, * 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, 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.

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