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Machine Learning Engineer
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Industry

Computer Software

Category

Data/IT

Experience

Entry level

Applications are considered on a rolling basis

Location: Sweden +7 more

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Contact Person
Joakim Andersson

Job Description

Do you love programming but feel that you need a new challenge? Do you have a genuine interest in automation, data analysis, AI and making things more efficient? Then becoming a Machine Learning Engineer at Ekkono is the perfect next step!

Ekkono provides a highly optimized software library with machine learning, signal processing and other techniques for edge computing. Typical applications are condition monitoring, predictive maintenance and predictive control for edge devices ranging from trucks, bikes, lawn movers, industrial machines, construction equipment, coffee machines and medical devices.

As a Machine Learning Engineer at Ekkono, you will learn the tricks of the trade hands on by working side by side with Ekkono's outstanding team, consisting of both data scientists and senior developers. You will work on real world problems with our senior data scientists wrangling and analysing data. Several data scientist on the team are active researchers and are also giving courses at master level, thus providing an ideal learning environment.

Ekkono is an embedded machine learning library and you will mainly be working with the library through Python.

Skills & Requirements

You should be a confident programmer, ideally with experience in more than one programming language. Additionally, a strong AI / Machine Learning interest is a must and real experience, also on a hobby level, has merit.

About the company

Ekkono does machine learning for IoT. The solution, which is the result of seven years of research at the University of Borås, is a lightweight embeddd software solution that enables advanced machine learning out on connected devices, aka edge computing. This enables predictive maintenance and production optimization in industrial IoT, and more intuitive consumer IoT products. Ekkono makes connected things smart!

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