Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Salary
- from 66.598 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you develop strategies for AI infrastructure and MLOps, create reference workflows, implement CI/CD processes, and advise partners on responsible AI and EU regulations.
Job Technologies
Your role in the 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.
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Our expectations of you
Education
- Completed degree (Master's/PhD) in Computer Science, Data Science, Artificial Intelligence, or a related field.
Qualifications
- 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.
Experience
- 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.
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Benefits
Health, Fitness & Fun
Work-Life-Integration
- ⏸Educational Leave/Sabbatical
- 🏠Home Office
- ⏰Flexible Working Hours
- 🅿️Employee Parking Space
- 🍼Day Care for Kids
Food & Drink
More net
Job Locations
Topics that you deal with on the job
This is your employer
FH Campus Wien
Wien
The FH Campus Wien is the largest university in Austria, with more than 6000 students. It offers bachelor's and master's degrees as well as continuing education courses, which are organized into seven departments: Applied Life Sciences, Technology, Building and Design, Public Sector Studies, Health Sciences, Nursing Science and Social Work.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Education System
AI Solution Delivery Engineer
- Salary
- from 66.598 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
