Klevu Oy
Remote
Information Technology
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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