Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Salary
- from 61.334 € Gross/Year
- Location
- Vienna
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will provide hands-on support for customers in deploying and operating AI/ML solutions, optimize deployment strategies, and implement MLOps best practices in production environments.
Job Technologies
Your role in the 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.
- Beraten Sie bei der Implementierung skalierbarer AI-Pipelines für Model Inference, Monitoring und 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.
- Berate bei der Gestaltung von Best Practices für Software-Stacks sowohl bei internen als auch bei cloudbasierten Deployments.
- Promote the use of open-source software where possible to minimise vendor lock-in and support European digital sovereignty.
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Our expectations of you
Education
- Degree in Computer Science, Data Science, Artificial Intelligence, or related field.
Qualifications
- 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.
Experience
- Experience deploying or advising on deployment of AI/ML solutions in production environments.
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What we offer
- 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 hours/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.
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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
Topics that you deal with on the job
Job Locations
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