Machine Learning Engineer

  • Full time
  • Prague
  • Posted 2 months ago

EWL powered by SyncHRoner

TensorFlow (regular)
PyTorch (regular)
Pandas (regular)
Scikit (regular)
NumPy (regular)
Deep Learning (regular)
Python (advanced)
In 2022 more than 170 million people worldwide will leave to find work abroad. Cross-border employment is still complicated. We want to simplify the process and be able to help even more foreigners. To achieve this, we are building a digital platform that will transparently connect employees and employers from different countries. To do this we need You and Your skills! Together we will change the way global labour migration takes place. We offer long-term partnership and the opportunity to grow in an agile environment.

Apply and take the development of the platform into your own hands, have a real impact on the business and the changes across the organisation. We plan to create several technological products that we would love to tell you about during the interview.

We have a lot of work to do together. Are you ready to take on the challenge?

Machine Learning Engineer

Location: Remote
  • Design and implement ML systems
  • Plan and prioritize tasks 
  • Research and implement appropriate ML algorithms and tools
  • Select appropriate datasets, data transformations and feature extraction methods
  • Run ML tests and experiments, perform error analysis using test results
  • Write project documentation (including project outlines, partial and final reports)
  • Keep up-to-date with the developments and technologies in ML
  • +2 years of proven professional experience in industry and / or academia as a ML engineer or similar role
  • Strong foundation in Machine Learning (including knowledge of probability & statistics, mathematical optimization, ML  fundamentals, basic ML algorithms, Deep Learning)
  • Good knowledge and experience in Predictive modeling and/or recommendations systems. 
  • Strong programming skills in Python
  • Good knowledge of NumPy / Scikit / Pandas / PyTorch or TensorFlow
  • Good understanding of Git
  • Good written and spoken english (B2 level is required)
  • Ability to work in a dynamic and changing environment
  • Ability to quickly solve analytical problems
  • Good communication skills 
  • Proactivity and desire to learn new technologies
  • Experience in deploying ML models into production
  • Experience in optimization (e.g. genetic algorithms) 
  • Experience in working with Azure/AWS
  • Experience in Mypy / Black
What we offer
  • Private medical care
  • Life insurance
  • Sharing the costs of sports activities
  • Sharing the costs of foreign language classes
  • Remote work opportunities
  • Flexible working time
  • Sharing the costs of professional training & courses
  • Integration events

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