Intern Artificial Intelligence & Machine Learning (m/f/d)

Introduction

Join our Signaling Testing Division in Munich (Germany) at the earliest possible date.

Tasks

• Support building and setting up new development tools and infrastructure utilizing knowledge in continuous integration, delivery, and deployment (CI/CD).
• Design, develop, and maintain automation tasks using Python to facilitate smooth execution.
• Troubleshoot and resolve issues related to infrastructure and deployment.
• Collaborate with cross-functional teams to identify and resolve infrastructure and deployment issues.
• Participate in research and development to deliver complex solutions or on-premises.
• Create and maintain documentation for infrastructure and deployment processes.

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Qualifications

• Current master studies in computer science, Information Technology, or a related field with a mandatory internship.
• Experience with continuous integration and continuous deployment (CI/CD) tools such as Jenkins or GitLab.
• Strong scripting skills (e.g. Python).
• Excellent problem-solving skills and attention to detail.
• Strong collaboration and communication skills to work effectively across teams.

Contact and further information

You can expect very good payment, excellent terms and outstanding opportunities for growth and development.

We will also be happy to help you find a room. We have a number of favorably priced accommodations at our disposal. We are looking for mandatory interns for this position. A combination of voluntary and mandatory internships is possible.

We are looking forward to receive your application along with your resume, current transcript of academic records, and your current certificate of enrollment! The best way to apply is online using the reference number. If you have any questions, please feel free to contact your recruiting contact at any time.

You must be properly enrolled for the duration of your employment.

Mobile working is possible - but your main place of work is Munich.

We place great importance on equal opportunities. We look forward to receiving your application regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age as well as sexual orientation and identity.

Reference number: 388

Recruiting contact: Verena Kral