Job
- Level
- Erfahren
- Job Feld
- IT, Data, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Befristetes Dienstverhältnis
- Gehalt
- ab 66.598 € Brutto/Jahr
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du Strategien für AI-Infrastruktur und MLOps, erstellst Referenz-Workflows, implementierst CI/CD-Prozesse und berätst Partner hinsichtlich verantwortungsbewusster KI und EU-Vorgaben.
Job Technologien
Deine Rolle im Team
- You are responsible for the strategic development of the service catalog for AI infrastructure, model development, data pipelines, evaluation, MLOps, and trustworthy AI; you maintain roadmaps, SLAs, and documentation, and jointly develop a balanced portfolio of AI service concepts with partner organisations, industry, and public institutions.
- You develop hands-on reference workflows (LLM fine-tuning, RAG pipelines, AI agents, MLOps templates) and provide end-to-end support for partner projects.
- You continuously operate and improve the MLOps stack (CI/CD, orchestration, monitoring, cost control) on HPC and hybrid cloud infrastructure.
- You embed trustworthy AI practices, integrate bias, privacy, and security checks, and advise users on the EU AI regulation.
- You communicate AI services through workshops, tutorials, office hours, and presentations, thereby increasing their usage and visibility.
- You support the development of training programs in applied AI in cooperation with partner organisations.
- You ensure the sustainable implementation and exploitation of results (e.g., patents, licenses, company formation, technology transfer).
- When necessary, you represent AI Factory Austria in national and international expert committees, networks, and conferences, significantly contributing to the visibility and reputation of Austria as an AI hub.
Unsere Erwartungen an dich
Ausbildung
- Completed degree (Master's/PhD) in Computer Science, Data Science, Artificial Intelligence, or a related field.
Qualifikationen
- Extensive expertise in Large Language Models (LLMs) and Generative AI, including retrieval-augmented generation (RAG), AI agents, prompt engineering, as well as domain-specific fine-tuning.
- Strong expertise in at least one of the following areas: Natural Language Processing (NLP), Computer Vision, time-series Analytics, Computational Audio Intelligence.
- Excellent language skills in German and English.
- You should be eligible for working in Austria.
Erfahrung
- Several years of experience in developing and operationalising ML/DL solutions (PyTorch, TensorFlow) on GPU/HPC systems.
- Proven practical experience in MLOps: Docker/Kubernetes, GitOps, MLflow/Kubeflow, observability stacks (Prometheus/Grafana, ELK).
- Experience with HPC schedulers (e.g., SLURM) and hybrid cloud architectures.
- Practical experience with Responsible-AI-Frameworks and the EU-AI-Regulations.
- Experience with research and industry projects and/or knowledge of funding mechanisms and project financing is advantageous.
Benefits
Gesundheit, Fitness & Fun
Work-Life-Integration
Essen & Trinken
Mehr Netto
Job Standorte
Themen mit denen du dich im Job beschäftigst
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
AI Solution Delivery Engineer
- Gehalt
- ab 66.598 € Brutto/Jahr
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
