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ML Engineer - NLP (Remote Position)

Remote: 
Full Remote
Contract: 
Full time
Experience: 
Mid-level (2-5 years)
Work from: 
Mali

Offer summary

Qualifications:

Solid fundamentals in mathematics, statistics, and machine learning theory, 3+ years of commercial experience in natural language processing, understanding or generation, Proficiency in programming languages like Python, C, C++, Java, Expertise with NLP tools and machine learning frameworks like NLTK, TensorFlow.
Entefy logo
Entefy TPE https://www.entefy.com/
11 - 50 Employees
About Entefy
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.
See more Entefy offers

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

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Apache StormApache HadoopMachine TranslationDialog SystemsQuality GateProgramming LanguagesApache LucenePython (Programming Language)Deep LearningBig DataJava (Programming Language)Information RetrievalNatural Language Processing (NLP)Knowledge BaseMapReduceSpaCy (NLP Software)Theano (Software)mlpack (C++ Library)Apache OpenNLPC (Programming Language)NLTK (NLP Analysis)Caffe (Framework)Attention MechanismsSolrcloudGensim (NLP Software)Keras (Neural Network Library)TensorFlowDeep SequencingCorelDRAW (Corel Software)SparkrAnalyticsMachine LearningTorch (Machine Learning)Distributed ComputingElasticsearchC++ (Programming Language)
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