Artefact
AI Engineer / Technical Consultant(m/w/x)
Full-timeOn-siteNot specified
Zürich
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Designing and building data pipelines for financial services clients. Practical GenAI and ML experience required. Fluent German, software engineering foundation.
Requirements
- Strong software engineering foundation
- Data Science depth
- Hands-on ML experience
- Practical GenAI experience
- Fluent German
- Strong client-facing communication skills
- Ability to produce audit-ready documentation
Tasks
- Design and build data pipelines
- Develop feature engineering workflows
- Train and calibrate ML models
- Validate supervised, unsupervised, and ensemble models
- Conduct threshold analysis
- Ensure production-grade explainability
- Develop GenAI-powered solutions
- Implement agentic workflows
- Create RAG systems
- Automate knowledge-intensive processes
- Deploy models in production
- Monitor model performance
- Detect and manage drift
- Manage multi-environment releases
- Work with compliance SMEs
- Collaborate with engineering teams
- Deliver documentation
- Transfer knowledge
- Enable long-term client success
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Fluent
Tools & Technologies
- Python
- Spark
- CI/CD
- Kubernetes
- Airflow
- Shapley Values
- LLM integration
- RAG architectures
- agentic workflows
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Capco and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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- Artefact
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Designing and building data pipelines for financial services clients. Practical GenAI and ML experience required. Fluent German, software engineering foundation.
Requirements
- Strong software engineering foundation
- Data Science depth
- Hands-on ML experience
- Practical GenAI experience
- Fluent German
- Strong client-facing communication skills
- Ability to produce audit-ready documentation
Tasks
- Design and build data pipelines
- Develop feature engineering workflows
- Train and calibrate ML models
- Validate supervised, unsupervised, and ensemble models
- Conduct threshold analysis
- Ensure production-grade explainability
- Develop GenAI-powered solutions
- Implement agentic workflows
- Create RAG systems
- Automate knowledge-intensive processes
- Deploy models in production
- Monitor model performance
- Detect and manage drift
- Manage multi-environment releases
- Work with compliance SMEs
- Collaborate with engineering teams
- Deliver documentation
- Transfer knowledge
- Enable long-term client success
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Fluent
Tools & Technologies
- Python
- Spark
- CI/CD
- Kubernetes
- Airflow
- Shapley Values
- LLM integration
- RAG architectures
- agentic workflows
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Capco and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Capco
Industry
FinancialServices
Description
Das Unternehmen ist eine globale Unternehmensberatung mit Fokus auf die Finanzdienstleistungsbranche und entwickelt maßgeschneiderte Lösungen.
Not a perfect match?
- Artefact
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Full-timeOn-siteExperiencedZürich - 3400 Accenture AG Company
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Data Engineer/Consultant (Databricks)(m/w/x)
Full-timeOn-siteNot specifiedZürich