Job
- Level
- Senior
- Job Feld
- Software, Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Gehalt
- ab 3.375 € Brutto/Monat
- Ort
- Wien
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Position entwickelst du AI- und Machine-Learning-Lösungen und bringst sie in die Produktion. Du arbeitest an Agenten AI-Systemen und traditionellen ML-Modellen und kümmerst dich um das gesamte Projektmanagement von der Idee bis zur Implementierung.
Job Technologien
Deine Rolle im Team
- Join a team where start-up pace meets the scale of an international banking group.
- In this role, you will deliver AI and machine-learning solutions end-to-end—from agentic AI systems (LLMs, RAG, MCP, agent frameworks) to traditional ML models—and bring them into production across our network banks.
- This role demands a polyvalent engineer who moves fluidly between deep technical work and direct engagement with business stakeholders across risk, fraud, operations, and customer analytics.
- You will be the bridge between complex technology and concrete business value.
- Own use cases end-to-end: problem framing, build, deploy, monitor, iterate.
- Design and deliver both agentic AI solutions (LLM orchestration, RAG, tool integrations) and traditional ML models.
- Establish MLOps/LLMOps practices: experiment tracking, CI/CD, monitoring, cost management.
- Run rigorous evaluations: backtesting, A/B testing, drift detection, red teaming.
- Work with business partners across the bank to define requirements, explain trade-offs, and support adoption.
Unsere Erwartungen an dich
Qualifikationen
- MLOps fundamentals: MLflow, Docker, CI/CD, monitoring.
- The ability and willingness to engage a wide range of non-technical stakeholders: translating business problems into technical approaches, aligning on requirements, and communicating decisions and trade-offs.
- Fluent English required; German is an advantage.
- Nice to Have: Responsible AI and regulatory awareness (EU AI Act, model risk).
- Software engineering foundations: APIs, microservices, containers, testing.
- Banking domain knowledge.
Erfahrung
- Experience shipping ML/AI systems to production (typically gained over ~5+ years).
- Financial services experience is a plus.
- Proficiency in Python and SQL; experience using Spark for data processing.
- Hands-on experience with both GenAI/agentic AI (LangChain, LlamaIndex, or similar; RAG; prompt engineering) and classical ML.
- Experience with Databricks.
Unser Angebot
- Global community: 75+ nationalities, English as the company language, and work permit support.
- Career growth: We believe in continuous learning and proactive career development.
- Take on challenging work that stretches your abilities, attend trainings, and use new technologies to make a lasting impact.
- Flexible work week: Flexible hours and work-from-home options from Austria.
- Stay healthy: Subsidized canteen, well-being programs, check-ups, and sport allowances.
- Save money: Discounts, exclusive banking terms, and a heavily subsidized public transport pass.
- Family support: Child allowances, gender-neutral parental leave, bilingual company kindergarten, and holiday childcare.
- Competitive salary: In accordance with Austrian legal requirements, the minimum salary for this position is EUR 3.375,40 gross per month under the applicable Banking Collective Agreement.
- The actual salary is typically higher and will be determined individually based on your qualifications, professional experience, and the specific requirements of the role.
Benefits
Gesundheit, Fitness & Fun
Work-Life-Integration
Mehr Netto
Essen & Trinken
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Raiffeisen Bank International AG
Wien, Wien
Die RBI ist in Österreich als führende Bank tätig und betrachtet auch Zentral- und Osteuropa (CEE) als ihren Heimmarkt. In CEE verfügt sie über ein engmaschiges Netzwerk an Tochterbanken, Leasinggesellschaften und einer Reihe von spezialisierten Finanzdienstleistungsunternehmen in 17 Märkten.
Description
- Unternehmensgröße
- 250+ Employees
- Gründungsjahr
- 2010
- Sprachen
- Englisch
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Banken, Finanz, Versicherung
Arbeitgeber-Reviews
von devworkplaces.com
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(4 Bewertungen)4.1
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