Overview

TechConnect Global is currently looking for an experienced Machine Learning Engineer for a client of ours in Vienna who are defining the future of mobile data capture via artificial intelligence.

Your Mission

  • Implement and evaluate State-of-the-Art neural networks relevant for OCR
  • Develop algorithms for automated platform for custom industrial OCR use-cases
  • Document and present results
  • Research and develop new machine learning approaches
  • Improve a mobile OCR SDK used over 10 million times a year
  • Optimize currently deployed neural network architectures

Your Profile

  • A passion for Machine Learning
  • Experience with implementation and evaluation of neural networks from scientific literature
  • Good understanding of State-of-the-Art neural network architectures
  • Experience with multi-GPU training on premise and in the cloud
  • Solid programming and development skills in Python
  • Hands on experience with OpenCV, TensorFlow, Keras (TF Backend), Numpy
  • Experience in publishing scientific papers
  • Research and development of new neural network architectures
  • Innovative ideas and desire to implement them
  • Creativity, ability to learn quickly, and adapt to change
  • A proactive attitude and passion for expanding your comfort zone
  • High standards for yourself and your team
  • Fluent written and spoken English skills

A brief look at what you’ll be doing

  • Design semi-automatic system for data pre-annotation
  • Research and implement algorithms for unbalanced data handling
  • Extend current training methodology with network pruning- and quantization approaches
  • Implement unsupervised pre-training algorithms in the platform
  • Research methods suitable for knowledge distillation and domain adaptation
  • Evaluate State-of-the-Art GAN architectures suitable for OCR

Why us

  • Work with a stellar team where you take over responsibilities from day one
  • Personal growth experience by helping to build a truly successful international company
  • Numerous company events throughout the year
  • Free drinks to keep you refreshed at work
  • Remote working
  • Young, autonomous company culture where every employee can change the future