Machine Learning Engineer

Watty / Datajobb / Stockholm
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At Watty we’re using state-of-the-art machine learning techniques to reduce the world’s carbon dioxide emissions. As a ML-engineer you will be working in close partnership to our ML-researchers, building tools that they need, taking algorithms from a research implementation into production, and building tools for large-scale data analysis.

What we're doing has never been done before - so we constantly have to figure out new type of solutions to our problems. Without a strong passion for what we do, and for developing your own skills, you'll find the work here too difficult.

Join us and help us change the way energy is being used around the world.

Required:

Strong programming skills, especially in Python and the Python scientific stack (NumPy, SciPy, scikit-learn, pandas)
Personal interest in keeping up to date with libraries/tools of significance
Substantial real-world (non academic) programming experience
Batchelor’s degree in a technical field or work experience in software development
Experience working in team
Strong problem solving skills
Pragmatism and ability to see the bigger picture

Preferred:

Master’s degree in a technical field
Work experience developing machine learning production systems
Experience in software engineering and maintaining a code base
Proficiency with agile or lean development practices
Interest in deep learning
Experience in C++
Basic skills in HTML/Javascript
Experience in developing web- and micro services
Good understanding of data visualisation
Strong automation skills
Good knowledge about algorithms

Tools you will use:

Docker
Luigi
Python scientific stack
RabbitMQ
Various DL-libs

Varaktighet, arbetstid
Heltid Anställningstid enligt överenskommelse

Publiceringsdatum
2015-10-09

Ersättning
Lön enligt överenskommelse

Så ansöker du
Sista dag att ansöka är 2016-03-27
Klicka på denna länk för att göra din ansökan

Kontakt
hjalmar@watty.se hjalmar@watty.se

Företag
Watty

Adress
Watty
Ferkens Gränd 3
11130 Stockholm

Kontorsadress
Ferkens Gränd 3 11130, Stockholm

Övriga kontaktuppgifter

Jobbnummer
2471700

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