At a glanceSummarised by Seekless from the posting.
Must have8
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
Nice to have6
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
Skills
Python
C
C++
Java
NLTK
CoreNLP
Gensim
spaCy
OpenNLP
UIMA
GATE
TensorFlow
Keras
Caffe
Theano
MLLib
Torch
Lucene
Solr
Elasticsearch
Hadoop
MapReduce
Spark
Storm
About the role
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