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AI & Data Engineer

Skills

aiapiazureci cdclouddata engineeringdata pipelinesdockergenerative aigitmlopsvector databasesAzureDockerGitCI/CD

Description

This role develops and operates the technical foundations of an internal generative AI solution, including data architectures and pipelines for an engineering organization.

Your tasks

  • Design scalable data architectures and data pipelines for an internal generative AI solution
  • Build vector databases (RAG) and graph databases
  • Ensure secure and reliable operation of the AI solution
  • Evaluate suitable AI models and new technologies
  • Define technical standards for platforms, APIs and models
  • Ensure quality of data integrations through testing
  • Collaborate closely with IT and other departments, considering data protection and IT security

What you bring

  • Completed degree in computer science, data engineering, business informatics or comparable field
  • Experience building modern data and AI solutions
  • Sound knowledge of cloud architectures (e.g. Azure)
  • Experience with data pipelines, MLOps and database integrations
  • Experience with vector databases and RAG systems
  • Familiarity with Git, CI/CD and Docker
  • Fluent English required; basic German is helpful

Conditions

  • Workload: 60-100 %
  • Option of a permanent position after the assignment if both sides want it

What to expect

  • Workload 60-100%
  • 3-6 months interim, then a permanent position
  • Flexible working conditions

Technologies

  • Azure
  • Git
  • CI/CD
  • Docker

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