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Remote Computer Vision Engineer

Remote
Photo of Anastasiya Danilova
Recruiter
Anastasiya Danilova
Roles:
Machine Learning
Must have skills:
Computer Vision
Work arrangement:
Remote only
Industry:
Search technology
Language:
English
Level:
Middle or senior
Company size:
11-50 employees
Trial period:
4 months
Logo of Klevu

Remote Computer Vision Engineer

Remote

Company

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.

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 a Computer Vision Expert. 
Must-have skills:
  • BS or MS degree in Computer Science, Data Science or Maths
  • 3+ years of Deep Learning solutions development
  • Experience with image processing to identify product objects and identify surroundings (e.g. a table found inside a room vs table in an outdoor area; a girl holding a toy vs a boy)
  • Broad understanding of Machine Learning, Computer Vision, and Deep Learning approaches and practices
  • Experience with deep learning frameworks (e.g. Pytorch, Tensorflow) 
  • Experience with Computer Vision tools and libraries (OpenCV, etc.)
  • Solid experience with data sets creation, management and augmenting; understanding problems associated with training/tuning deep learning models
  • Excellent oral and written communication in English
Nice-to-have skills:
  • Experience with Linux, git, Docker
  • Experience with Neo4J or Grakn
  • Experience of working with Solr, Elasticsearch or similar search technology

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