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
- Onsite
Job Summary
In this role, you strategically develop AI service portfolios, create technical workflows, and manage MLOps on HPC-cloud systems while implementing trustworthy AI practices and conducting training sessions.
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 organizations, 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 organizations.
- 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.
- Excellent language skills in German and English.
- You should be eligible to work in Austria.
Experience
- Several years of experience in developing and operationalizing 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
- 👨🏻🎓Mentor Program
- 🧠Mental Health Care
- 🚲Bicycle Parking Space
- ♿️No Physical Barriers
- 👩⚕️Company Doctor
- 🎳Team Events
Work-Life-Integration
- 🙅♂️No All-In Contracts
- 🏝Extra Holidays
- 🏠Home Office
- ⏰Flexible Working Hours
- 🚌Excellent Traffic Connections
Food & Drink
More net
Job Locations
Topics that you deal with on the job
This is your employer
AIT Austrian Institute of Technology GmbH
Wien, Klagenfurt, Graz, Hall In Tirol, Dornbirn, Seibersdorf, Steyr-Gleink, Wien, Braunau Am Inn - Ranshofen, Wien, Tulln
The AIT Austrian Institute of Technology is Austria's largest research institute and is considered a specialist in central infrastructure issues for the future, Europe-wide.
Description
- Company Size
- 250+ Employees
- Founding year
- 2007
- Language
- German, English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Science, Research
Dev Reviews
by devworkplaces.com
Total
(2 Reviews)3.8
Engineering
4.0Culture
4.2Career Growth
3.6Workingconditions
3.7