Job
- Level
- Erfahren
- Job Feld
- Data, Application
- Anstellung
- Vollzeit
- Vertragsart
- Befristetes Dienstverhältnis
- Gehalt
- ab 68.152 € Brutto/Jahr
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
Du entwickelst strategisch den KI-Servicekatalog, kümmerst dich um MLOps-Automatisierung und verbesserst Datenpipelines, während du Nutzer in praktischen Workshops und Schulungen zur Nutzung von KI-Lösungen berätst.
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.
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 organizational structure.
- Close collaboration with leading national and international partners as well as access to unique AI and HPC infrastructure.
- The gross annual salary starts at EUR 68.152,-- as a minimum according to the non-university collective agreement.
- The actual total salary package is determined individually according to your qualifications and experience.
- 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.
- At AIT, we create an inclusive and family-friendly working environment that promotes equal opportunities and actively strengthens diversity across our workforce and in leadership positions.
- Among other initiatives, we are committed to increasing the proportion of women in our company and therefore particularly welcome applications from female applicants.
Benefits
Gesundheit, Fitness & Fun
- 👨🏻🎓Paten- & Mentor- Programm
- 🧠Psychische Gesundheitsv.
- 🚲Fahrradabstellplatz
- ♿️Barrierefreiheit
- 👩⚕️Betriebsarzt
- 🎳Team Events
Work-Life-Integration
Essen & Trinken
Mehr Netto
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
AIT Austrian Institute of Technology GmbH
Wien, Klagenfurt, Graz, Hall In Tirol, Dornbirn, Seibersdorf, Steyr-Gleink, Wien, Braunau Am Inn - Ranshofen, Wien, Tulln
AIT ist Österreichs größte Research & Technology Organisation und führend in der angewandten Forschung für innovative Infrastrukturlösungen. Das macht uns zum leistungsstarken Entwicklungspartner der Industrie und zum Top-Arbeitgeber in der internationalen Wissenschaftsszene. Unsere Mitarbeiter:innen aus 7 spezialisierten Center, arbeiten an nationalen und internationalen Forschungs- und Industrieprojekten mit Schwerpunkt Dekarbonisierung und Digitalisierung - Beispielsweise an Lösungen, Methoden und Tools (meist Prototypen) für nachhaltige Energiesysteme, altersgerechtes selbstbestimmtes Leben, innovativen Umgang mit biologischen Ressourcen, höchste Sicherheit in Datennetzen, umweltschonende Technologien für Elektromobilität, Mobilitätskonzepte der Zukunft und etwa für die Planung von lebenswerten & smarten Städten. Wir sind stolz darauf, dass wir mittels unserer innovativen Lösungen die Lebensqualität der Menschen rund um uns herum verbessern und einen Beitrag für gesellschaftlich relevante Themen im Infrastrukturbereich leisten. In unserem Unternehmensvideo können Sie mehr über das AIT erfahren!
Description
- Unternehmensgröße
- 250+ Employees
- Gründungsjahr
- 2007
- Sprachen
- Deutsch, Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Wissenschaft, Forschung
Dev Reviews
by devworkplaces.com
Gesamt
(2 Bewertungen)Career Growth
3.6Engineering
4.0Culture
4.2Workingconditions
3.7