Working Student AI Development

ROHDE & SCHWARZ GmbH & Co. KG
Kiel, Germany
2 days ago

Role details

Contract type
Permanent contract
Employment type
Part-time / full-time
Working hours
Regular working hours
Languages
English

Job location

Remote
Kiel, Germany

Tech stack

Artificial Intelligence
Machine Learning
Openshift
TensorFlow
PyTorch
React
Vue.js
Angular
Kubernetes
Information Technology
Front End Software Development
Docker

Job description

You must be properly enrolled for the duration of your employment. You can work up to 20 hours per week during the lecture period. Mobile working is possible - but your main place of work is Kiel.

Requirements

Current studies in Electrical Engineering, Computer Science, Machine Learning or similar Proven experience in modern machine learning frameworks (e.g. TensorFlow, PyTorch or JAX) First experience with cloud-deployments (e.g. Docker, Kubernetes, OpenShift) Familiarity with handling large amounts of datasets Knowledge of front-end development (e.g. React, Angular or Vue) is a plus

About the company

At Rohde & Schwarz, we develop and produce solutions in the fields of Test & Measurement, Technology Systems, and Networks & Cybersecurity - driven by the vision of a safer and connected world. From software to final production, our more than 15,000 employees create products and systems that set global standards and enable technological sovereignty for industrial, regulatory, and government customers worldwide. Our headquarters, located in the heart of Munich, also serves as our main development site. Our offer * Opportunities to work from home * Flexible working hour models * Attractive compensation * Training & continuing education * Parking spaces * Privately owned company * No dresscode * 30 days of vacation * Family services * Promoting innovation * Meal allowance * Long-term & attractive work environment * Special payments * Employee referral bonus * Support of cultural activities   You must create an Indeed account before continuing to the company website to apply

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