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
Směnnost: Jednosměnný provoz