Computer Vision 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 www.klevu.com

Responsibilities:

  • Contribute to the research, development, and prototyping of architectures and models for image processing
  • Work on high-quality training data set creation, and on data pre-processing with image processing and CV tools
  • Exploit these datasets to automatically annotate images and teach machines the context of what they are looking at
  • Use the trained models to enrich catalogs as well as knowledge-graphs with the extracted aspects
  • Collaborate with the software engineering team on building an end-to-end image search solution

Must have skills:

  • BS or MS degree in Computer Science, Data Science or Maths
  • Strong Python experience including numpy, scikit, matplotlib etc.
  • 3+ years of deep learning solutions development
  • Broad understanding of Machine Learning, Computer Vision, and Deep Learning approaches and practices
  • Experience with deep learning frameworks (e.g. Pytorch, Tensorflow)
  • Solid experience with data sets creation, management and augmenting; understanding problems associated with training/tuning deep learning models
  • Experience with model training using large datasets
  • Ability to communicate effectively within and outside the organization, and write technical materials for internal and external use
Nice to haves:
  • Experience with model distillation and quantization
  • Experience with CUDA
  • Experience with image retrieval and object detection models

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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