Job
- Level
- Senior
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
- Job Feld
- IT, Data, DevOps
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 64.554 € Brutto/Jahr
Job Zusammenfassung
In dieser Rolle entwickelst du eine robuste Infrastruktur für AI-Projekte, arbeitest an der Verbesserung von Tools für MLOps und gestaltest automatisierte Workflows, um unterschiedliche Teams bei der AI-Entwicklung zu unterstützen.
Job Technologien
Deine Rolle im Team
- We are looking for a highly skilled and motivated Senior AI Engineer (m/f/d) to own and advance the shared infrastructure and tool stack supporting AI development, experimentation, analysis and delivery.
- In this role, you will combine expertise in MLOps, software architecture and platform engineering to create reliable, secure and scalable capabilities that accelerate AI teams across the organization.
- You will work closely with AI, Data, Analysis and Software specialists to identify recurring challenges, establish common standards and translate development needs into reusable services, automation and self-service workflows.
- You will also help introduce governed agentic capabilities where they provide clear value.
- Your responsibilities will include:
- Own the architecture, roadmap and continuous improvement of the shared tool stack supporting AI development, experimentation, analysis and delivery across teams.
- Maintain the reliability, usability, security and scalability of the platform, including its core services, integrations and development workflows.
- Design and implement reusable services, APIs, interfaces and automation covering experimentation, model evaluation, data processing, inference and analytical workflows.
- Define and promote common engineering standards for testing, reproducibility, versioning, observability, documentation and operational readiness.
- Identify recurring technical needs and bottlenecks, then translate them into practical platform improvements and self-service capabilities.
- Partner with AI, Data, Analysis and Software teams to support adoption, troubleshoot complex issues and ensure the tool stack addresses real development and modelling needs.
- Use representative machine-learning workflows to validate platform capabilities and contribute hands-on to model integration or development where required.
- Introduce governed agentic capabilities, such as MCP integrations and tool-assisted workflows, where they provide value while maintaining access controls, traceability and human oversight.
Unsere Erwartungen an dich
Ausbildung
- Bachelor's or Master's degree in computer science, engineering or a related field, or equivalent professional experience.
Qualifikationen
- Expert Python and software-engineering skills covering modular architecture, APIs, testing, asynchronous processing and code review.
- Practical knowledge of the ML lifecycle, reproducibility, data and model versioning, security, privacy, access control, reliability and regulated release processes.
- Solid practical understanding of machine learning and deep learning, including model training, evaluation, inference, GPU-based workloads and frameworks such as PyTorch.
- Familiarity with agentic systems, tool calling or MCP servers and clients, including evaluation, traceability and human-in-the-loop controls.
- Strong communication skills in English and the ability to align technical stakeholders across multiple teams.
Erfahrung
- Minimum of five years of ML engineering, platform engineering or MLOps experience with production AI systems.
- Strong experience with Docker, CI/CD, cloud platforms, orchestration, experiment tracking, model registries, observability and infrastructure as code.
- Healthcare, medical-device or another regulated-environment experience is highly desirable.
Unser Angebot
- Room for your own ideas and possibility to grow in your role.
- Friendly and supportive team culture that values diversity.
- Hybrid work model (home office + in-person collaboration).
- Flexible working hours for better work-life balance.
- Well-equipped workplace in a charming office in central Vienna.
- Public transport support.
- Regular team-building events.
- Fully stocked kitchen with snacks and drinks.
- Access to digital mental well-being platform.
- Corporate Benefits and discounts.
- Buddy program to help you get started.
- You can expect a gross yearly salary starting at EUR 64.554,- (on full-time basis, 38.5 hours/week based on the collective agreement) with the willingness to overpay according to your qualification and experience.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
RetInSight GmbH
Wien
Wir sind ein innovatives Gesundheitstechnologie-Startup der Medizinischen Universität Wien (Christian Doppler Labor OPTIMA) mit Kunden und Partnern auf der ganzen Welt.
Description
- Gründungsjahr
- 2020
- Unternehmenstyp
- Startup
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Internet, IT, Telekom, Pharma, Chemie, Biotech, Wissenschaft, Forschung
Arbeitgeber-Reviews
von devworkplaces.com
Gesamt
(1 Bewertung)4.5
Culture
4.2Engineering
4.3Career Growth
4.6Workingconditions
4.8
Senior AI Engineer - AI Platform Engineering
- Gehalt
- ab 64.554 € Brutto/JahrNetto aus dem Bruttogehalt im Inserat umgerechnet.ab 43.528 € netto/Jahr
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
