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Remote NLP Engineer

Remote
Photo of Anastasiya Ivanenko
Recruiter
Anastasiya Ivanenko
Roles:
Machine Learning
Must have skills:
NLP
Considering candidates from:
Schengen, CIS, Turkey and Egypt
Work arrangement:
Remote only
Industry:
Search technology
Language:
English
Level:
Senior
Company size:
11-50 employees
Logo of Klevu

Remote NLP Engineer

Remote
Klevu creates an intelligent site search solution designed to help eCommerce businesses increase onsite sales and improve the customer online shopping experience. The company produces mass amounts of data on a daily basis. Combined with shopping data being directly delivered to their backend systems with access to shopping catalogues containing both the structured attributes and unstructured product descriptions, they have a wealth of data with immense opportunity to extract valuable insights and improve search accuracy.
Tasks:
  • build systems with the NLP capabilities such as named entity recognition & identification, topic analysis, sentiment analysis, language detection, building knowledge-graphs and QA models.
Must-have skills:
  • Ph.D in NLP or Computational Linguistics or equivalent experience (MSc with 2+ years of experience)
  • Comfortable with various NLP techniques such as Statistical NLP, Text Analysis, Computational Linguistics, Machine Learning, and Rule-based Systems
  • Experience in fact extraction, entity linking, question answering, and semantic parsing
  • Experience with common NLP/ML libraries (e.g. GATE, NLTK, SpaCy, scikit-learn)
  • Strong programming/software engineering background enabling rapid codebase acquisition and scalable development
  • Fluency with at least one of the modern distributed ML frameworks (e.g. TensorFlow, PyTorch)
  • Be able to understand and implement state of the art NLP publications
  • Excellent oral and written communication in English 
Nice-to-have skills:
  • Experience with Neo4J or Grakn
  • Technical understanding of overall eComm platforms
  • Experience of working with Solr, Elasticsearch or similar search technology
  • Experience with docker based deployments
  • Some cloud experience such as AWS or Azure 
Interview process: 
  1. Intro call with Toughbyte
  2. First technical interview 
  3. Test assignment
  4. Most probably there will be another tech interview
  5. Final culture fit interview with the CEO

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