Remote NLP Engineer

Description

Our client 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. 

With solid growth over 5 years, billions of API calls served on its belt, our client is now poised for solid growth and looking to strengthen its team globally and right now is looking for an NLP Engineer. You will be required to build systems with the NLP capabilities such as named entity recognition & identification, topic analysis, sentiment analysis, language detection, building knowledge-graphs and QA models.

Requirements

Must-have skills:

  • Ph.D in NLP or Computational Linguistics or equivalent experience (MSc with 4+ 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)
  • 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
  • Some cloud experience such as AWS or Azure

Recruiter
Natalia Kulaeva
Must have skills:
NLP
Location:
Helsinki, Finland
Work arrangement:
Remote only
Company type:
Search Technology
Language:
English
Level:
Senior
Company size:
<50 people

Description

Our client 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. 

With solid growth over 5 years, billions of API calls served on its belt, our client is now poised for solid growth and looking to strengthen its team globally and right now is looking for an NLP Engineer. You will be required to build systems with the NLP capabilities such as named entity recognition & identification, topic analysis, sentiment analysis, language detection, building knowledge-graphs and QA models.

Requirements

Must-have skills:

  • Ph.D in NLP or Computational Linguistics or equivalent experience (MSc with 4+ 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)
  • 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
  • Some cloud experience such as AWS or Azure

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