The AI Job Search Engine
Senior Data Scientist/ML Engineer/AI Engineer(m/w/x)
Description
In this role, you will take charge of developing and implementing advanced AI solutions, ensuring they are reliable and efficient. Your work will involve collaborating with business partners, optimizing performance, and maintaining compliance in a dynamic environment.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Work Experience
5 years
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
Tools & Technologies
Languages
English – Business Fluent
German – Basic
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
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Senior Data Scientist/ML Engineer/AI Engineer(m/w/x)
The AI Job Search Engine
Description
In this role, you will take charge of developing and implementing advanced AI solutions, ensuring they are reliable and efficient. Your work will involve collaborating with business partners, optimizing performance, and maintaining compliance in a dynamic environment.
Let AI find the perfect jobs for you!
Upload your CV and Nejo AI will find matching job offers for you.
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
Work Experience
5 years
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
Tools & Technologies
Languages
English – Business Fluent
German – Basic
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.
- craftworks GmbH
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