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Senior AI/ML Engineer (f/m/x) - Advanced Analytics & AI Tribe, RBI Group

Архив
Raiffeisen Bank International · банковские услуги
Вакансия в архиве · закрыта 15.08
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Вакансии в Австрии

О вакансии

Откуда можно работать
Гибрид: Австрия
Английский
C1
из текста вакансии
Уровень
Senior
указан работодателем
Деньги
~ $3,9 тыс/мес
указана работодателем: €3 375/мес, курс на 09.08
Даты
Видели у компании с 11.08 по 15.08 · закрыта 15.08
вакансия закрыта, проверки прекращены
Почему в каталоге:В команде есть выходцы из Восточной Европы, Кавказа и Центральной АзииПодробнее о компании →Основание проверено по источнику на карточке компании. Нанимает ли компания из Восточной Европы, Кавказа и Центральной Азии прямо сейчас, мы не знаем.

Суть роли

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.

Что предстоит делать

Your mission at RBI:

  • 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.

Требования

Your core competencies:

  • 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.
  • 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.

Будет плюсом

Nice to Have:

  • Responsible AI and regulatory awareness (EU AI Act, model risk).
  • Software engineering foundations: APIs, microservices, containers, testing.
  • Experience with Databricks.
  • Banking domain knowledge.

Условия и бенефиты

What's in it for you:

  • Global community: 75+ nationalities, English as the company language, and work permit support. Find out more about international applications here.
  • 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. We are happy to discuss the details in person.

Навыки

PythonSQLApache SparkLangChainLlamaIndexRAGprompt engineeringMLflowDockerCI/CDmonitoringDatabricksREST APIMicroservicescontainerstestingResponsible AIEU AI Actmodel risk

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