Artificial Intelligence & Machine Learning Internship

Telekom; Bonn; Hybrid; EUR 10,000 - 13,000; Part time

Benefits offered by this job

Practical innovation

Flexible working

Personal mentoring

Modern workplace

Open corporate culture

Network & prospects

Job summary

Deutsche Telekom IT GmbH in Bonn offers a hands-on Artificial Intelligence and Machine Learning internship where you design, implement and evaluate ML models and generative AI solutions using Python. You will contribute to innovative Visual AI use cases and share research insights within an agile team.

Join a team of experienced data scientists for mentoring, with modern hardware and a culture that supports experimentation and practical impact on real-world use cases.

Qualifications

• Currently enrolled in data science, AI or ML degree or gap year.
• Strong Python skills and experience in building data/AI pipelines.
• Hands-on knowledge of ML/AI concepts; experience with generative AI/LLMs and computer vision.
• Familiar with agile methods such as Scrum or Kanban and teamwork.
• Very good written and spoken German and English.

Responsibilities

• Support design, implementation and evaluation of ML models and LLM solutions using Python.
• Contribute to Visual AI use cases and research experience.
• Develop and test AI-based solutions and support implementation of new use cases.
• Work in agile teams using Scrum or Kanban and share your ideas.
• Research current AI trends, papers and open-source frameworks.
• Prepare findings and share knowledge with the team.
• Support continuous improvement of models and development processes.

Skills

Python

ML pipelines

Generative AI/LLMs

Computer vision

Scientific work

German language

English language

Team collaboration

Scrum/Kanban

Education

Student in data science or AI/ML

Tools

Git/GitHub

LangChain

LLamaIndex

Hugging Face

PyTorch

Job description

# Artificial Intelligence & Machine Learning InternshipBonnStudent internshipInternshipDeutsche Telekom IT GmbH## About this job**Internship at Deutsche Telekom** Do you want to put the theory you have learned into practice and experience and help shape the digital world of tomorrow today? Then you've come to the right place! We can make and copy coffee ourselves; we are looking for interns like you who want to advance the connected world every day with team spirit, a willingness to innovate and perform!**Deutsche Telekom IT GmbH** Telekom IT is an integral part of Deutsche Telekom. With 9,500 IT specialists in seven countries, we are simplifying, digitizing and accelerating processes in our large corporation.In a time of technological change, our focus is shifting from internal services to cloud-based infrastructure. The agile spirit of a start-up and established professionalism of a DAX-30 company — isn't it possible? Go ahead! We're breaking up old structures. We pursue holistic, integrated solutions and are able to respond flexibly to customer requests and market requirements. We work in agile structures, flat hierarchies and in a culture of trust with short decision-making processes. This leaves plenty of room for development and development. Become part of an innovative team that is changing the telecommunications market together.**Your tasks** **Whether it's a mandatory or voluntary internship — As an intern (m/f/d), you will definitely benefit from attractive remuneration and will support the team with the following responsible tasks from 01.12.2026:*** You support the design, implementation and evaluation of machine learning models as well as generative AI and LLM solutions using Python* You contribute to innovative use cases in the area of Visual AI and contribute your research experience* You develop and test AI-based solutions and support the technical implementation of new use cases* You actively work in agile teams using Scrum or Kanban and contribute your own ideas to the development process* You research current trends, scientific papers and open source frameworks in the area of AI and machine learning* You prepare your findings and share your knowledge with the team* You support the continuous improvement of existing models, methods and development processes**Your profile** You are studying data science, artificial intelligence, machine learning, a comparable degree program or are in a gap year.You also have the following knowledge and skills:* You are already a scholarship holder as part of the Female @Tech program* You have in-depth Python skills and experience in developing data and AI pipelines* You have practical knowledge in machine learning and artificial intelligence* You have initial experience with generative AI, large language models (LLMs) and computer vision* You have initial experience in scientific work and in carrying out and evaluating experiments* You are a team player and familiar with agile working methods such as Scrum or Kanban* You have very good written and spoken German and English skills**Nice-to-have** * First practical experience or projects in the area of Visual AI (computer vision, image processing)* Previous knowledge of scientific work or initial research experience (e.g. as part of study projects or publications)* Familiarity with frameworks in the area of Generative AI/LLMs (e.g. LangChain, LLmaIndex, or Hugging Face)* Experience working with version control systems (e.g. git/GitHub)* First points of contact with agile methods (Scrum or Kanban)**What we offer** * **Practical innovation:** Work on cutting-edge AI and generative AI projects with real impact* **Flexible working:** flexible working hours and the option of hybrid work/ mobile office* **Personal mentoring:** Close support from experienced data scientists and AI experts as well as a steep learning curve* **Modern workplace:** State-of-the-art hardware and software equipment at our location in Bonn* **Open corporate culture:** respectful work environment, agile teamwork and regular team events* **Network & prospects:** Valuable contacts within the Group and good opportunities for subsequent working students or thesesThis position is also available on a part-time basis.Severely disabled people are given priority if they are equally qualified.