Collaborate with our core development team to bring machine learning into production - Design and train ML models on large-scale clinical da
sits within the ML Engineering Area and integrates tightly with the existing MLOps team rather than as a silo.
Mission Neko is redefining what prevention means, from treating illness when it arrives, to sustaining health before it s ever at risk.
Als AI Solutions Architect gestaltest du die strategische und technologische Weiterentwicklung Künstlicher Intelligenz in den IT-Services de
Als AI Engineer entwickelst und implementierst du innovative KI-Lösungen auf Basis moderner Large Language Models (LLMs) und begleitest dere
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Bereitstellung und Überwachung der Datenpipelines, Fehlerbehebung und Bearbeitung von Datenanfragen aus den Fachbereichen Betrieb und kontin
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Collaborate with our core development team to bring machine learning into production - Design and train ML models on large-scale clinical datasets - Integrate AI-powered solutions (LLMs, ASR, RAG, Embedding, and more in the future) into real medical workflows - Evaluate, benchmark, and fine-tune existing models to fit clinical use cases - Work with Federated Machine Learning frameworks for privacy-preserving model training - Collaborate with leading academic and research institutions - Own the reliability, performance, and quality of AI features in production - Leverage access to high-performance computing infrastructure to build robust ML pipelines
Degree in Informatics, Computer Science, or a related field - or equivalent practical experience - Strong coding background - GitHub contributions are a plus - Hands-on experience deploying ML systems to production using PyTorch, LangChain, and Pydantic, including LLMs, ASR models, and RAG pipelines with vector databases (e.g., Qdrant). - Publications at top conferences or demonstrated cutting-edge results in applied ML (e.g., Speech Recognition or NLP) is a plus - Interest in new technologies and their application to real-world challenges - Fluency in English, German is a plus YOUR
Variety in your tasks and the opportunity to take ownership - 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 - Support for your personal development through continuous learning and feedback - Set your own rhythm with flexible working hours and trust-based time tracking - A virtual stock option package (VSOP) that lets you participate in Avelios’ long-term value creation - A monthly meal allowance up to 75 euros, full coverage of the Deutschlandticket, Urban Sports Club or a subsidized Wellpass membership, a bike leasing program and Corporate Benefits that give you access to discounts from a wide range of providers in various areas
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 Machine Learning Engineer (all genders), you will drive the integration of intelligent systems into real-world clinical environments.
Collaborating with our interdisciplinary development teams, your role will focus on 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.
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Zur OriginalanzeigeVom Bildbefund bis zur Dienstplanung: Im Gesundheitswesen trifft KI auf besonders sensible Daten, und die Stellen verlangen entsprechend oft Erfahrung mit Datenschutz und Zulassung.