Machine Learning Engineer

Grebeňová Kateřina, e-mail: katerina.grebenova@galytix.com

Napln prace

• Develop a state-of-the-art data science and ML runtime stack in a multi-cloud environment.
  
• Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture.
  
• Manage the infrastructure and pipelines needed to bring models and code into production.
  
• Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.
  
• Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production.
  
• Apply machine learning algorithms and libraries.
  
• Research and implement best practices to improve the existing machine learning infrastructure.
  
• Collaborate with data engineers, application programmers and data scientists.
  

Kvalifikace

• Qualification in some of the related fields such as computer science, statistics, electrical engineering, mathematics, or physical sciences.
  
• Self-starter with excellent communication/time management skills.
  
• Computer programming is a must, knowledge of Python.
  
• Experience scaling machine learning on data and compute grids.
  
• Proficiency with K8n, Docker, Linux and cloud computing.
  
• Experience with MLflow.
  
• MLOps, CI, Git and Agile processes.
  
• English language communication skills