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