Internship/Working Student (m/f/d): MLOps for Industrial Digital Twin

Looking for a taste of working life in an international, future-focused corporate group? Then join us as an intern (m/f/d) and familiarise yourself with a suitable department for 3 to 6 months. You will be involved in large-scale projects and perform a defined set of duties independently. Use your internship to build a network and become familiar with our company.

Your responsibilities

• Digital twin is the digital representation of a device, which can help engineers to gain insight on the operational state of the device. The implementation of a digital twin requires combining multiple techniques such as cloud-level micro-services, machine learning algorithm, and the data pipeline to get the data.
• Scripting and programming,
• Deployment and management of machine learning pipeline
• Testing open source tools and python libraries on a local cluster or in the cloud with Kubernetes
• Developing tools for industrial machine learning problems
• Bonus: Development of web application to showcase results

What we offer:

• Interesting and challenging topic, an open and international work atmosphere, experience with industrial problem settings

Your background

• Good software development skills is a strong requirement
• Experience with popular programming languages such as Python, C# etc.
• Experience with cloud native technologies such as docker, Kubernetes.
• Experience with different SQL and No-SQL database technologies.
• Bonus: Know-how of ML lifecycle management concepts and tools such as MLflow, Kubeflow, Kedro, etc
• Bonus: Web development technologies such as HTML, CSS, Javascipt and its frameworks