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

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

• 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

• Strong Python programming skills with knowledge of libraries such as Pandas, Num Py, PyTorch, Tensor Flow, 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., Lang Graph, 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

• 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

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.

Our recruitment decision is based solely on an assessment of your skills (your race, skin color, sexual orientation, gender identity, origin, disability, political view, appearance, or religion will not have any influence on the outcome of the process).