Jetzt wechseln zu U Glow GmbH: Full Stack Developer (m/w/d) bei Prelytics.ai, Standort: Homeoffice

Verändere deine Karriere: Werde Full Stack Developer (m/w/d) bei Prelytics.ai bei U Glow GmbH in Homeoffice

Werde Teil unseres dynamischen Startups im Bereich Webentwicklung: REST, MQTT, und Frontend bei Prelytics!

Als Teil der U-Glow GmbH begeistern wir bei Prelytics unsere Kunden mit innovativen Dienstleistungen in den Bereichen Innovationsmanagement, Softwareentwicklung, Drahtloskommunikation und Systems Engineering. Mit wissenschaftlichen Methoden und Branchen-Expertise in den Bereichen Smart Grid, Telekommunikation, Automotive und Industrie 4.0 bieten wir leistungsfähige Technologielösungen für spezifische Kundenprobleme.

Um unser stetig wachsendes Team zu erweitern, suchen wir Dich im Bereich:

Full-Stack Developer (m/w/d)

in Mülheim an der Ruhr bzw. Remote

Du willst in einem jungen Startup arbeiten, willst aktiv mitgestalten und Dich reizt die Kombination aus Forschung und Praxis? Dann haben wir die richtige Stelle für Dich.

Become part of our dynamic startup in the field of web development: REST, MQTT, and Frontend at Prelytics!

As part of U-Glow GmbH, we at Prelytics inspire our customers with innovative services in the areas of innovation management, software development, wireless communication and systems engineering. With scientific methods and industry expertise in the fields of Smart Grid, Telecommunications, Automotive and Industry 4.0, we offer powerful technology solutions for specific customer problems.

To expand our constantly growing team, we are looking for you in the area of:

Full-Stack Developer

in Mülheim an der Ruhr or remotely

Do you want to work in a young start-up, do you want to play an active role in shaping the future and are you attracted by the combination of research and practice? Then we have the right position for you.

• You will develop applications, data and information models, as well as algorithms in the areas of IoT, IT security, Industry 4.0 and automation technology & smart grids.
• You will apply modern machine learning methods and evaluate statistical methods (number crunching) based on existing software frameworks.
• You will programme algorithms, interfaces and UIs for industrial applications.
• You will use common development methods to elicit requirements and create concepts and specifications, which you will then convert into code and test thoroughly.
• You will support the cross-cutting topics in the startup by actively acquiring customers in our areas of expertise and initiating your own projects on this basis.

APCT1_DE