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