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Senior Data Scientist/ML Engineer/AI Engineer(m/w/x)
End-to-end GenAI/ML use case ownership, orchestrating LLMs with agent frameworks and optimizing RAG for customer experience. 5+ years delivering production ML/AI systems with practical GenAI experience required. 30 days remote work, subsidized canteen.
Requirements
- 5+ years delivering ML/AI systems in production
- Expert Python skills
- SQL/PySpark
- Spark/Databricks expertise
- Practical experience with GenAI models and pipelines
- Hands-on with agent frameworks and tooling
- RAG expertise: embeddings, vector stores, retrieval, and evaluation approaches
- LLMOps / MLOps experience: MLflow or similar
- Feature stores
- Data/prompt versioning
- CI/CD (GitHub Actions, Jenkins)
- Docker
- Orchestration tools (Airflow, Prefect)
- Experience designing evaluation and validation frameworks
- Ability to translate business requirements into production-grade technical solutions
- Fluent English
- German is an advantage
- Knowledge of Responsible AI and regulatory frameworks
- Banking domain familiarity
- Software and data engineering foundations
- APIs (REST/gRPC)
- Experience with containers and orchestration
- Kubernetes
Tasks
- Own end-to-end ML/AI/agentic use cases from framing to production
- Implement MCP and orchestrate LLMs/tools with agent frameworks
- Build and optimize RAG for precision, recall, and latency
- Establish LLMOps/MLOps for experiments, versioning, and CI/CD
- Ensure reliability, safety, and compliance in AI systems
- Run rigorous offline and online evaluations to monitor performance
- Optimize performance and cost with usage and cost dashboards
- Collaborate with business partners to define requirements
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- SQL
- PySpark
- Spark
- Databricks
- MLflow
- Docker
- Kubernetes
- Airflow
- Prefect
- GitHub Actions
- Jenkins
Benefits
Flexible Working
- Flexible work hours
- Work-from-home options
- 30 days remote work
Mental Health Support
- Well-being programs
Free or Subsidized Food
- Subsidized canteen
Healthcare & Fitness
- Sport allowances
Corporate Discounts
- Discounts
- Exclusive banking terms
Public Transport Subsidies
- Subsidized public transport pass
Additional Allowances
- Child allowances
Generous Parental Leave
- Gender-neutral parental leave
Childcare
- Bilingual company kindergarten
- Holiday childcare
Not a perfect match?
- Raiffeisen Bank InternationalFull-timeWith HomeofficeExperiencedWienfrom 64,500 / year
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Senior Data Scientist/ML Engineer/AI Engineer(m/w/x)
End-to-end GenAI/ML use case ownership, orchestrating LLMs with agent frameworks and optimizing RAG for customer experience. 5+ years delivering production ML/AI systems with practical GenAI experience required. 30 days remote work, subsidized canteen.
Requirements
- 5+ years delivering ML/AI systems in production
- Expert Python skills
- SQL/PySpark
- Spark/Databricks expertise
- Practical experience with GenAI models and pipelines
- Hands-on with agent frameworks and tooling
- RAG expertise: embeddings, vector stores, retrieval, and evaluation approaches
- LLMOps / MLOps experience: MLflow or similar
- Feature stores
- Data/prompt versioning
- CI/CD (GitHub Actions, Jenkins)
- Docker
- Orchestration tools (Airflow, Prefect)
- Experience designing evaluation and validation frameworks
- Ability to translate business requirements into production-grade technical solutions
- Fluent English
- German is an advantage
- Knowledge of Responsible AI and regulatory frameworks
- Banking domain familiarity
- Software and data engineering foundations
- APIs (REST/gRPC)
- Experience with containers and orchestration
- Kubernetes
Tasks
- Own end-to-end ML/AI/agentic use cases from framing to production
- Implement MCP and orchestrate LLMs/tools with agent frameworks
- Build and optimize RAG for precision, recall, and latency
- Establish LLMOps/MLOps for experiments, versioning, and CI/CD
- Ensure reliability, safety, and compliance in AI systems
- Run rigorous offline and online evaluations to monitor performance
- Optimize performance and cost with usage and cost dashboards
- Collaborate with business partners to define requirements
Work Experience
- 5 years
Education
- Master's degree
Languages
- English – Business Fluent
- German – Basic
Tools & Technologies
- Python
- SQL
- PySpark
- Spark
- Databricks
- MLflow
- Docker
- Kubernetes
- Airflow
- Prefect
- GitHub Actions
- Jenkins
Benefits
Flexible Working
- Flexible work hours
- Work-from-home options
- 30 days remote work
Mental Health Support
- Well-being programs
Free or Subsidized Food
- Subsidized canteen
Healthcare & Fitness
- Sport allowances
Corporate Discounts
- Discounts
- Exclusive banking terms
Public Transport Subsidies
- Subsidized public transport pass
Additional Allowances
- Child allowances
Generous Parental Leave
- Gender-neutral parental leave
Childcare
- Bilingual company kindergarten
- Holiday childcare
About the Company
Raiffeisen Bank International
Industry
FinancialServices
Description
The company is committed to providing an excellent customer experience and values diversity and inclusion in its workforce.
Not a perfect match?
- Raiffeisen Bank International
AI Engineer for Corporate & Investment Banking(m/w/x)
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Senior Data Scientist - Focus Industrial AI(m/w/x)
Full-timeWith HomeofficeSeniorWienfrom 55,000 / year - Raiffeisen Bank International
Data Engineer for Corporate & Investment Banking(m/w/x)
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Senior Data Scientist(m/w/x)
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