Kubeflow Jobs in Vienna

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.

In this role, you design end-to-end AI solutions focusing on architecture, model development, and MLOps. You integrate AI services into hybrid cloud environments while ensuring scalability and trustworthy system design.

In this role, you provide technical support for partner projects, work on implementing data pipelines and CI/CD systems, and develop efficient AI models and workflows in HPC and hybrid cloud environments.

In this role, you will build a scalable software infrastructure for HPC and AI applications, conduct analyses, and optimize the entire AI/ML model lifecycle while implementing MLOps solutions.

You will develop and operate the ML platform for training and on-device deployment, build scalable data/training pipelines, and automate CI/CD, testing, quantization and packaging with Docker, Kubernetes and TensorFlow/PyTorch.

In this role you build and operate the ML platform for on-device models: implement scalable data and training pipelines, automate CI/CD, quantization and testing, and manage deployments, monitoring and optimization.

In this role, you design distributed data platforms, develop APIs and microservices in Python or Go, and implement ETL processes while collaborating closely with HPC and ML teams.

In this role, you will develop AI-driven features for ANKÖ applications using .NET, conduct error analysis, and optimize existing features through close collaboration with product management.

In this role, you strategically develop AI service portfolios, create technical workflows, and manage MLOps on HPC-cloud systems while implementing trustworthy AI practices and conducting training sessions.

In this role, you will design innovative distributed data platforms and integrate modern open-source technologies. You will also work on microservices, ETL processes, and implement security controls in data management.

In this role, you will develop a scalable software infrastructure for HPC and AI applications, managing everything from data integration to deployment and monitoring of AI models while collaborating closely with stakeholders.