T Hub - AI Intern – LLM, Voice to Text & Agentic Systems

Your responsibilities

• Build and fine-tune large language models (LLMs) for specific business use cases

• Contribute to the development and testing of voice-to-text pipelines

• Design, implement, and iterate on conversational agents interacting via text and speech

• Prepare and annotate text and audio datasets for training and validation

• Develop prototype agentic applications (e.g., chatbots, task-oriented assistants) using Python

• Evaluate model outputs, prepare reports, and recommend improvements

• Explore emerging GenAI techniques and suggest production-ready enhancements

• Participate in code reviews, documentation, and team stand-ups while working closely with senior engineers

Our requirements

• Strong Python programming skills with knowledge of libraries such as Pandas, NumPy, PyTorch, TensorFlow, Hugging Face Transformers or similar

• Basic understanding of machine learning concepts (especially NLP, speech processing, or autonomous agents)

• Familiarity with transformer architectures, Hugging Face ecosystem, and prompt engineering

• Hands-on experience with open-source models (e.g., Whisper, Vosk) and audio-processing pipelines or agent frameworks (e.g., LangGraph, smolagents)

• Ability to clean and prepare large-scale text and audio datasets

• Experience with Git (creating pull requests, code reviews)

• Strong analytical thinking and ability to clearly communicate results

• Ability to work with technical documentation and scientific papers

• English min. B2 level

• German language skills (min. B1),

• Familiarity with MLOps tools (MLflow, DVC, CI/CD for ML models)

• Knowledge of audio signal processing (e.g., FFT, mel spectrograms)

• Background in UX/UI design for conversational or voice interfaces

What we offer

• Working at T-Mobile’s T Hub will offer you a unique and highly rewarding experience on the IT market. As a leader in the telecommunications industry, T-Mobile not only provides a platform to develop your technical skills but also empowers you to contribute to real innovation.

• You will have the opportunity to work with cutting-edge technologies, including AI, conversational systems, and voice interfaces, gaining hands-on experience across the full AI product lifecycle.

• Our culture promotes continuous learning and collaboration in international teams. With access to mentorship from experienced engineers, you will grow both technically and professionally in a supportive and dynamic environment.