Hybrid Flexikum AI-Driven Intent-Based Networking & Automatisierte Netzwerkkonfiguration (München, Germany) en Deutsche Telekom Technik GmbH

Company: Deutsche Telekom Technik GmbH ​
Job ID: 237667
Location: Germany : Bayern : München
Career Level: 02 - Students
Employment type: 03 - Internship
Weekly working hours: 20.00
Amount of travel: 0%
Languages required: English
Application deadline: 09/02/2025

About us

Flexikum at Telekom. Want to gain practical experience early on despite a full study schedule without extending your standard period of study? With Flexikum, you can! Its flexibility allows you to gain practical experience alongside your studies!
For more information on Flexikum, visit: https://www.telekom.com/flexikum

Deutsche Telekom Technik GmbH
The digital society. Not possible without us. Our employees provide you with the best network. With a reliable and secure infrastructure. The foundation for tomorrow's innovations. We offer the best outlook for the digital future. For you, right from the start.

You will join the topic of “Multi-Domain Orchestration”. MDO serves as the central enabler for the cloudification and dynamic evolution of our services.The MDO is used as a lightweight orchestrator for the fully automated provisioning of services and products, linking the BSS systems with the respective domain orchestrators. The MDO includes a service catalog and provides individual function calls for integration into the BSS environment, while also integrating defined, reusable calls into the individual domains.

Your Tasks

As a Flexikant (m/f/d), you will complete your voluntary internship and benefit from attractive remuneration and flexible working hours. You will support the team in the following responsible tasks: 

• Implement an AI-driven Intent-Based Networking concept in a prototype network scenario.
• Translate “user intents” into concrete network configurations using Python or similar.
• Model complex network topologies according to MEF standards.
• Develop and test automated orchestration solutions with a focus on scalability and real-time adaptation.
• Work independently within a distributed, international team – remotely and on-site if required.
• Apply your expertise in network automation, orchestration, and machine learning directly to a practical research project

Your Profile

You are studying Communication Networks or a comparable degree program or are in your gap year. In addition you have the following knowledge and skills:

• Knowledge in Network Automation and Network Orchestration
• AI and Machine Learning Fundamentals
• Proficiency in programming and scripting, with a strong focus on Python and knowledge in libraries such as TensorFlow and PyTorch
• High level of self-motivation, independence, and problem-solving capability
• Please enclose your current certificate of enrollment

This position is also available on part-time basis.

Severely disabled applicants with equal qualification will be given particular consideration.

Your contact: Bianca Eugenia Mihalache 
Phone: 069/2193896998 
E-mail: [email protected] 

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