Universitätsklinikum Köln AöR
Scientific Data Platform Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
Köln
Neuer Job?Nejo!
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DADAMEDIC GmbH
Fullstack Engineer (RnD)(m/w/x)
Köln
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Nejo KI-Zusammenfassung
Bridging ML algorithms with clinician-facing interfaces and APIs for automated hospital case billing. Minimum 3 years of fullstack application development and end-to-end feature ownership required. Cross-team knowledge sharing, regular technical workshops, and modern tech stack.
Anforderungen
- 3+ years experience building fullstack applications
- Pride in clean, well-tested code
- End-to-end ownership and user-centric thinking
- Collaboration across diverse teams and areas
- Eagerness to learn ML and MLOps
- Team player with strong feedback skills
- 3+ years professional fullstack engineering experience
- Strong experience with TypeScript and React
- Experience with JVM-based stack, ideally Kotlin
- Experience with GraphQL and schema design
- Interest in system stability and infrastructure
- Good comprehension of German (~ B1)
- Experience with Python and FastAPI (desirable)
- Experience with LLMs, ML, and MLOps
- Experience with Kubernetes, Helm, and Terraform
- Experience with RabbitMQ and Apache Airflow
Aufgaben
- Bridge ML algorithms with clinician-facing products
- Collaborate with research engineers and medical experts
- Interview users to identify product needs
- Design and build interfaces, APIs, and infrastructure
- Own features from ideation to production shipping
- Maintain clean architecture and scalable systems
- Manage and resolve technical debt
- Support ML infrastructure and MLOps initiatives
- Review bug reports and implement fixes
- Sketch UI designs for new model features
- Refactor GraphQL schemas for API performance
- Demo interfaces to product and medical experts
- Iterate on features based on user feedback
- Optimize Kubernetes deployment configurations for resilience
- Develop database tables and GraphQL mutations
- Integrate model endpoints into the frontend
- Maintain codebase quality and technical documentation
Berufserfahrung
- 2 - 5 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Deutsch – Grundkenntnisse
Tools & Technologien
- TypeScript
- React
- JVM
- Kotlin
- GraphQL
- Python
- FastAPI
- LLMs
- Machine Learning
- MLOps
- Kubernetes
- Helm
- Terraform
- RabbitMQ
- Apache Airflow
Benefits
Lockere Unternehmenskultur
- Culture of active feedback
- Open discussions
Moderne Technikausstattung
- Use of new technologies
Sonstige Vorteile
- Cross team knowledge sharing
Team Events & Ausflüge
- Team workshops
- Board game evenings
- Canoe trips
- Regular team activities
Flexibles Arbeiten
- Flexible workday
Sonstige Zulagen
- Home office equipment costs
Startup-Atmosphäre
- Co-working space membership
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens DAMEDIC GmbH erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
- envelio
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Senior Product Engineer (Full Stack)(m/w/x)
Vollzeitmit HomeofficeSeniorKölnab 100.000 / Jahr
DADAMEDIC GmbH
Fullstack Engineer (RnD)(m/w/x)
Köln
Vollzeitmit HomeofficeBerufserfahren
AI/ML
Nejo KI-Zusammenfassung
Bridging ML algorithms with clinician-facing interfaces and APIs for automated hospital case billing. Minimum 3 years of fullstack application development and end-to-end feature ownership required. Cross-team knowledge sharing, regular technical workshops, and modern tech stack.
Anforderungen
- 3+ years experience building fullstack applications
- Pride in clean, well-tested code
- End-to-end ownership and user-centric thinking
- Collaboration across diverse teams and areas
- Eagerness to learn ML and MLOps
- Team player with strong feedback skills
- 3+ years professional fullstack engineering experience
- Strong experience with TypeScript and React
- Experience with JVM-based stack, ideally Kotlin
- Experience with GraphQL and schema design
- Interest in system stability and infrastructure
- Good comprehension of German (~ B1)
- Experience with Python and FastAPI (desirable)
- Experience with LLMs, ML, and MLOps
- Experience with Kubernetes, Helm, and Terraform
- Experience with RabbitMQ and Apache Airflow
Aufgaben
- Bridge ML algorithms with clinician-facing products
- Collaborate with research engineers and medical experts
- Interview users to identify product needs
- Design and build interfaces, APIs, and infrastructure
- Own features from ideation to production shipping
- Maintain clean architecture and scalable systems
- Manage and resolve technical debt
- Support ML infrastructure and MLOps initiatives
- Review bug reports and implement fixes
- Sketch UI designs for new model features
- Refactor GraphQL schemas for API performance
- Demo interfaces to product and medical experts
- Iterate on features based on user feedback
- Optimize Kubernetes deployment configurations for resilience
- Develop database tables and GraphQL mutations
- Integrate model endpoints into the frontend
- Maintain codebase quality and technical documentation
Berufserfahrung
- 2 - 5 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Deutsch – Grundkenntnisse
Tools & Technologien
- TypeScript
- React
- JVM
- Kotlin
- GraphQL
- Python
- FastAPI
- LLMs
- Machine Learning
- MLOps
- Kubernetes
- Helm
- Terraform
- RabbitMQ
- Apache Airflow
Benefits
Lockere Unternehmenskultur
- Culture of active feedback
- Open discussions
Moderne Technikausstattung
- Use of new technologies
Sonstige Vorteile
- Cross team knowledge sharing
Team Events & Ausflüge
- Team workshops
- Board game evenings
- Canoe trips
- Regular team activities
Flexibles Arbeiten
- Flexible workday
Sonstige Zulagen
- Home office equipment costs
Startup-Atmosphäre
- Co-working space membership
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens DAMEDIC GmbH erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
DAMEDIC GmbH
Branche
Healthcare
Beschreibung
Das Unternehmen übernimmt den kompletten Prozess der Fallabrechnung für Krankenhäuser und kombiniert KI-basierte Software mit menschlicher Expertise.
Noch nicht perfekt?
- Universitätsklinikum Köln AöR
Scientific Data Platform Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenKöln - envelio
Senior Fullstack Engineer(m/w/x)
VollzeitRemoteSeniorKöln, Aachen, Bonn, Berlin, München, Castrop-Rauxel - Interzero Business Solutions GmbH
Senior Full-Stack Engineer(m/w/x)
Vollzeitmit HomeofficeManagementKölnab 80.000 / Jahr - Wolters Kluwer
Senior Full Stack Engineer, AI Platform & Agents(m/w/x)
Vollzeitmit HomeofficeSeniorHürth - epilot GmbH
Senior Product Engineer (Full Stack)(m/w/x)
Vollzeitmit HomeofficeSeniorKölnab 100.000 / Jahr