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

Vos tâches

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

Ce que vous apportez

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

Taux d'activité: 60–100 %
Option d'engagement fixe après la mission, si les deux parties le souhaitent

Ce qui vous attend

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

Technologies

Azure
Git
CI/CD
Docker

Comment postuler

Vous postulez avec votre profil Try&Hire : téléchargez votre CV, vérifiez les informations, indiquez les données clés et votre disponibilité. Une courte vidéo de présentation est facultative, mais elle aide. Notre équipe vous contacte si votre profil correspond à la mission.

AI & Data Engineer