1-й в Украине сертификационный курс по UX от UXQB — крупнейшего в мире комьюнити UX специалистов
COMPARUS.UA We are Ukrainian-German team of professionals working in Dnipro since 2008. Our extensive and advanced skills give us possibility to provide complex innovative IT-services for European financial sector.
1 ноября 2018

Artificial Intelligence Engineer

Днепр

Необходимые навыки

Are you interested in Artificial Intelligence?
Do you like watching how computer learns and starts thinking and making prognoses?
Do you think in vectors, matrix, bit of crazy maths? Can develop and use maths?
Want to make something smart from a pile of hardware?
If yes, apply now, here you can do this for money! We have lots of tasks to make computers think for us.

Whom we need?

Persons, who:
Have commercial experience in software development and/or applied maths.
Understand deeply what is Artificial Intelligence.
Know what are neural networks, machine learning, data mining.
Have experience in document specification tasks, natural language processing or pattern recognition tasks.
Have experience in any open-source tools and frameworks for deep learning.
Can develop code in any of Java, JS, Python or C++.

Must Have:

Good (self)organizational skills.
Level of spoken/writing English Intermediate/B1+
Ability and willing to work in a team of people

Предлагаем

What we propose?

We have enough work for all team players.
You can make your work interesting, we promote that.
Cutting-edge technologies are welcome in our team.
We will try to motivate you as much as we can if you need that.
We know, that developers love hardware, we will try to make you happy with your hardware and devices.
Friendly-professional atmosphere in a team, we like to work together :)
Here is no 9–18 schedule, unless it is adequate.
You can enjoy your vacation in the same way and amount as most of your friends.
When you are sick, we are sad with that and of course compensate it as working time.

О проекте

Our project: text document recognition and document classification based on machine learning and in-house microservice-architectured platform
Customer: representatives of German financial branch

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