Datascientist/Machine learning

Growbotics is a Stockholm-based innovation hub for developers that aspire to do more than being code pushers. In between our internal projects and startups we work as consultants for exciting companies where you can develop your skills to the next level.
At Growbotics we have something called the innovation fund. This is a dedicated resource for our employees and outstanding innovators in society to get an “Minimum-viable-product”-investment. The fund is the core of our beliefs, that a low barrier for trying out ideas, is the foundation for innovation.
As an employee at our company, you are therefore expected to contribute both by consulting at external companies, and being part of the idea innovation community we are building up.

Who you are:
You would probably define yourself as either a Data Engineer with an interest in machine learning or a Data Scientist that is painfully aware of the fact that Jupyter notebooks is not the way to build a production environment.
From whatever side you come, we want you to develop into an end-to-end machine learning applier. This is not a theoretical data science position. The focus is on cloud architecture, distributed computations and making production-ready systems. Not everything will be AI and ML either, since you will be working with a vast amount of ideas.

Some keywords/frameworks/technologies you might have worked with:
AWS, GCP, Azure
Serverless, microservices
Tensorflow, Pytorch, MXNet
Spark, Kafka, Airflow, Flink etc.
Redis, SQL, NoSQL
Python, Julia, Go, Scala, C/C++, Node.js, Haskell/Clojure

Why you should join
Some of the benefits working at Growbotics:
20,000 SEK study budget/year
Good base salary
Opportunity to get shares and ownership in all ideas we are developing into startups
All usual benefits like 5k health, food discounts etc. etc.
6 weeks vacation (+ 2 weeks for education)
We encourage remote work
And most importantly - the ability to test your ideas (on work time) in a safe environment supported by startup veterans
So leave your cushy job and come do something awesome with us instead.