NLP Engineer

India, Remote

Experience: 3+ years

About Klevu

Klevu is a discovery experience suite that revolutionises online shopping. It provides a range of SaaS based solutions, that are deep rooted in AI-ML technology and delivered via cloud for online retailers. Klevu is a global Finnish company that prides in diversity, great team, excellent partner network and global customer footprint. Learn more from


  • Apply NLP techniques to solve complex problems in eCommerce product discovery
  • 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 research 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
  • Ability to communicate effectively within and outside the AI team
Nice to haves:
  • 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

What we offer:

  • Being part of one of the most exciting search technology company from Nordics with global footprints
  • Work with a team in 3 continents (North America, Europe, Asia)
  • Excellent work culture, hands-on, result oriented
  • Good salary and flexible hours

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