5 job openings found.
AIT Austrian Institute of Technology GmbH·Vienna
In this role, you create tailored AI solutions, design and implement AI workflows, and support the development of prototypes and MVPs within interdisciplinary teams.
NTT DATA Österreich GmbH·Graz, Innsbruck, Vienna
In this role, you will develop practical AI and GenAI solutions, managing the entire lifecycle of systems while advising international clients and collaborating with agile teams.
Rheinmetall MAN Military Vehicles Österreich GesmbH·Vienna
In this role, you will administer an onPremise cloud based on OpenStack, design Kubernetes environments, and build deployment pipelines while ensuring system availability through proactive monitoring.
In this role, you develop innovative AI solutions, design scalable systems, and advise international clients on custom applications of AI and GenAI technologies while orchestrating MLOps and LLMOps.
Bundesrechenzentrum GmbH·Vienna
In this role, you will manage AI-driven applications for fraud prevention, optimize systems, execute software releases, and develop monitoring solutions for critical business applications.
Receive new Kubeflow jobs in Austria by email.
Cloudflight GmbH·Graz, Innsbruck, Vienna
In this role, you will design robust AI platforms, develop MLOps workflows, and optimize GPU infrastructures to create, deploy, and monitor effective AI models while ensuring security and compliance throughout the lifecycle.
In this role, you will design scalable AI/ML platforms, automate MLOps workflows, and optimize GPU environments for high-performance models while collaborating with cross-functional teams.
FH Campus Wien·Vienna
In this role, you design AI solution architectures, develop data pipelines, implement MLOps, and embed trustworthy AI principles into systems to create robust, scalable applications.
In this role, you will implement models and data pipelines for AI projects, develop MLOps templates, and support the operation of CI/CD and monitoring systems in HPC environments.
You strategically develop the AI service catalog, manage MLOps automation, and enhance data pipelines while advising users in practical workshops and training on utilizing AI solutions.
In this role, you administer and optimize an on-premises cloud based on OpenStack, operate effective Kubernetes environments, and develop deployment pipelines to ensure system availability.
In this role, you provide technical support for partner projects, develop ML models and pipelines, operate CI/CD systems, and implement trustworthy AI practices in hybrid cloud environments.
In this role, you develop AI services, operate and improve MLOps stacks, implement documentation and SLAs, support partner projects, and organize workshops to increase the usage of AI services.
In this role, you will design comprehensive AI solutions, develop reference architectures, and ensure seamless integration of AI services in hybrid cloud environments while considering trustworthy AI principles.
In this role, you will develop strategic AI services and implement MLOps processes while supporting partner projects and conducting training to enhance AI application usage.