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Data Engineer & Machine Learning

Avelios Medical

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Arbeitsmodell
3 Ausschreibungen · gruppiert
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Working Student Machine Learning (all genders)

Veröffentlicht am

Arbeitsort
80331 München, Bayern, Deutschland
Gehaltsschätzung
12.000–18.000 € brutto/Jahr · KI-Schätzung von Salary Quick anhand von Jobtitel und Ort (Stand 2026-09-13). Arbeitszeit und individuelle Konditionen können den Betrag verändern. Keine Gehaltszusage.

Stellenbeschreibung

ABOUT US

Our mission at Avelios is to unlock clinical data to power seamless healthcare operations for better patient care. To do so, we have built a modular software platform that digitizes and optimizes workflows in hospitals with cutting-edge technology in a user-friendly way. With our software, we enable hospitals, doctors & nurses to provide their patients with the best possible care. We are growing fast and want to keep expanding our team and business to fundamentally digitize healthcare for the better. We appreciate different backgrounds and see diversity as one of our strengths.

THE TEAM AND ROLE

As a Working Student Machine Learning (all genders), you will support the integration of intelligent systems into real-world clinical environments. Collaborating with our interdisciplinary development teams, your role will focus on contributing to bringing state-of-the-art models (LLMs, ASR, and more) into production and embedding them directly into Avelios software to improve everyday medical workflows. This is a unique opportunity to shape how AI transforms the way clinicians work.

YOUR RESPONSIBILITIES

Collaborate with our core development team to bring machine learning into production

Support the design and training of ML models on large-scale clinical datasets

Assist with the integration of AI-powered solutions (LLMs, ASR, RAG, Embeddings, and more) into real medical workflows

Support the evaluation, benchmarking, and fine-tuning of existing models for clinical use cases

Explore Federated Machine Learning frameworks for privacy-preserving model training

Collaborate with leading academic and research institutions

Contribute to the reliability, performance, and quality of AI features in production

Leverage access to high-performance computing infrastructure to build robust ML pipelines

YOUR QUALIFICATIONS

Currently enrolled in Informatics, Computer Science, or a related field

Strong coding background, especially in Python

Exposure to ML frameworks such as PyTorch, HuggingFace, LangChain, or Pydantic, including LLMs, ASR models, or RAG pipelines with vector databases (e.g. Qdrant)

Genuine interest in new technologies and their application to real-world challenges

Fluency in English, German is a plus

NICE TO HAVE

GitHub contributions

Publications at top conferences or demonstrated cutting-edge results in applied ML (e.g. Speech Recognition or NLP)

YOUR BENEFITS

Variety in your tasks and the opportunity to take ownership

Flexible working hours

Support for your personal development through continuous learning and feedback and high chances to transition into a full-time role if the collaboration is successful

An international, informal team structure in a motivating start-up atmosphere, allowing you to participate directly in our customer growth story and the overall success of Avelios

Ability to gain valuable hands-on experience in a startup backed by leading international VCs

A monthly meal allowance up to 75 euros, and Corporate Benefits that give you access to discounts from a wide range of providers in various areas