Job
- Level
- Erfahren
- Job Feld
- IT, Data, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Befristetes Dienstverhältnis
- Gehalt
- ab 61.334 € Brutto/Jahr
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle bietet du praxisnahe Unterstützung für Kunden bei der Implementierung und dem Betrieb von AI/ML-Lösungen, optimierst Deployment-Strategien und implementierst MLOps-Best-Practices in produktiven Umgebungen.
Job Technologien
Deine Rolle im Team
- Provide hands-on guidance and support as an AI Deployment Architect to customer teams for deploying, operating, and updating AI/ML solutions, including consulting and initial PoCs.
- Guide customer teams in end-to-end deployment and operation of AI/ML solutions in production environments.
- Advise on the implementation of scalable AI pipelines for model inference, monitoring, and updates.
- Provide guidance on configuring and managing infrastructure, including cloud platforms and containerised environments (Docker, Kubernetes).
- Ensure customer teams follow MLOps best practices: CI/CD, monitoring, versioning, and model lifecycle management.
- Advise on designing best practices for software stacks in both in-house and cloud-based deployments.
- Promote the use of open-source software where possible to minimise vendor lock-in and support European digital sovereignty.
Unsere Erwartungen an dich
Ausbildung
- Degree in Computer Science, Data Science, Artificial Intelligence, or related field.
Qualifikationen
- Strong knowledge of cloud platforms, containerisation, and orchestration tools, including configuration and best practices.
- Understanding of MLOps workflows, CI/CD, monitoring, and model lifecycle management in customer environments.
- Practical problem-solving skills and ability to provide guidance as an architect directly to customer teams.
- Knowledge of scalable data infrastructure and integration into operational workflows.
- Familiarity with AI frameworks is beneficial.
- Collaborative mindset and excellent communication skills in English; German is a plus.
- You should be eligible for working in Austria.
Erfahrung
- Experience deploying or advising on deployment of AI/ML solutions in production environments.
Unser Angebot
- A key function in a visionary field of the future with high social and economic relevance.
- Excellent research and technology foundation as well as a dedicated team to implement innovative ideas.
- Significant opportunities for shaping your work and short decision-making paths within an open, agile organisational structure.
- Close collaboration with leading national and international partners as well as access to unique AI and HPC infrastructure.
- The minimum gross annual salary on a full-time basis (38,5 h / week) according to the collective agreement is EUR 61.334,--.
- The actual salary will be determined individually, based on your qualifications and experience.
- Highlights of our employee benefits include meal allowance, preventive healthcare benefits and company doctor, pension fund, additional days off for various life events, family benefits (including two weeks of paid paternity leave 'Papa-Weeks' and leisure subsidies), voucher programme, sports, cultural and socialising events and many more, as well as flexitime models (incl. up to 50% home office), travel support for conferences and networking, and individual training and career development opportunities.
- The position is funded by the AI Factory Austria until June 2028. An extension beyond this period may be possible depending on future project developments.
Benefits
Gesundheit, Fitness & Fun
Work-Life-Integration
Essen & Trinken
Mehr Netto
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
FH Campus Wien
Wien
Die FH Campus Wien ist Österreichs größte Fachhochschule und bietet über 6000 Studierenden ein breites Angebot an Bachelor- und Masterstudiengängen sowie Weiterbildungslehrgängen. Die sieben Departments der Universität organisieren die Ausbildung in den Bereichen Applied Life Sciences, Technik, Bauen und Gestalten, Public Sector, Gesundheitswissenschaften, Pflegewissenschaft und Soziales.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Bildungswesen