Machine Learning Engineer

Working in a Startup company in its first stages with a lot of
potential and a place to grow.


Design and build features from model creation through a working server on customer premises.
Implementing information management within the company, storage, and usage for creating various models.
Building complex models on large scale server using advanced tools. Working with company customers: support for existing products, plan and build more features according to customers needs.


Motivation and the will to grow in the positions. Ability to work in a team along with the ability to learn on the job and work independently. Object oriented programing orientation. Can-do attitude in all fields of work, from personal computer to running product on customer premises.


First degree in computer science or relevant engineering degree.


Python – High level, understanding of the language, specialty NumPy mathematical functions.
Knowledge with Flask environment – advantage.

ELK / Solr – Experience in one of those environments.

Kafka – Experience in Kafka.

Docker – Experience in packing for production level.

Kubernetas – Experience – Advantage.

ML – Strong knowledge of the AI world with ML in focus.

Experience in NLP – advantage Familiarity with tools like MLFlow – advantage.

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