How do I apply for the Werkstudent Datascience & AI Engineering (w/m/d) position at KAMAnjola GmbH and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at KAMAnjola GmbH paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Werkstudent Datascience & AI Engineering (w/m/d) role?

This position is a not disclosed, structured as a on-site role.

What educational background or degree level is required for the Werkstudent Datascience & AI Engineering (w/m/d) at KAMAnjola GmbH?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor, Master.

Does KAMAnjola GmbH provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Werkstudent Datascience & AI Engineering (w/m/d)

KAMAnjola GmbH

Found 3 months ago

Location

Aachen, Germany

Time

Not disclosed

Work Mode

On-site

Salary

15€-16€/ Stunde

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor
Master

Skills & Qualifications

Technical Skills

Algorithmik
Softwareentwicklung
Firmware
Simulation
Datenintegration
Datenmanagement
Datenanalyse
Python
C/C++
Webservices
REST API
JavaScript
HTML
PHP
SQL
Linux

Soft Skills

Teamgeist
offene Kommunikation
Spaß an der Arbeit
Eigenverantwortung
Selbststeuerung
authentisch innovativ
engagierte Teamplayer

Job Description

Du wirst Mitglied eines Teams von Mitarbeitenden und unterstützt dieEntwicklung unserer innovativen digitalen Plattform. Du entwickelst Webapplikationen, sowie digitale Services zur Steuerung von Energieverbundsystemen. In unserer Digitalwerkstatt erarbeitest du die Weiterentwicklung von digital twins im Bereich Mobility. Du konzeptionierst Testfälle und unterstützt uns bei der Testautomatisierung. Infrastrukturbetreuung und Cloudcomputing gehören zu deinen Alltagsaufgaben.

Requirements

Bachelor- oder Masterstudierender (m/w/d) der Informatik,Ingenieurwesen oder eines vergleichbaren Studiengangs.
Interesse an Algorithmik und Softwareentwicklung /Firmware und Simulation.
Kenntnisse in Datenintegration, Datenmanagement, Datenanalyse.
Programmierkenntnisse in Python, C/C++
Kenntnisse in Entwicklung von Webservices (REST API, JavaScript, HTML, PHP, SQL)
Kenntnisse im Betriebssystem Linux von Vorteil

AI & Machine Learning

Applied Machine Learning

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