Kubeflow Jobs in Germany

In this role, you will develop generative AI systems, design and optimize models like LLMs and Diffusion Models, and integrate data-driven architectures into production environments.

In this role, you will develop automated, Kubernetes-based platforms for machine learning, enhance ML workflows, and design robust cloud infrastructures in a global environment.

In this role, you will work on integrating and maintaining a cloud-native MLOps platform, configure Kubernetes environments, and automate workflows using infrastructure-as-code and CI/CD.

In this role, you will build LLM platforms and on-prem GPU clusters, monitor performance, and scale hybrid architectures while collaborating closely with data scientists and developers for optimal AI solutions.

In this role, you will design data processing pipelines, maintain existing data infrastructure, and collaborate closely with data scientists to optimize ML models and develop CI/CD pipelines.

In this role, you will develop scalable microservices using Java and Spring Boot, integrate external systems, and manage CI/CD pipelines for automating AI workflows in cloud environments.

In this role, you will develop high-performance infrastructures for deploying AI models and optimize CI/CD pipelines while closely collaborating with various teams to efficiently integrate innovative solutions.

In this role, you will build robust ML systems and infrastructure to transform real-world data into trained 3D world models and create automated production endpoints while closely collaborating with the research team.

You develop complex AI and GenAI solutions from concept to execution, advise clients, orchestrate MLOps in cloud environments, and work agilely in international teams.

In this role, you will develop scalable AI agents and RAG pipelines, implement monitoring and evaluation frameworks, and optimize systems for reliable and cost-efficient AI applications.

In this role, you design system architectures for analytical data processing, develop data models and proof of concepts while testing technologies and facilitating trainings and workshops.

In this role, you will uncover various data sources, develop ETL/ELT processes, and build data models while leading teams and implementing innovative technologies to enhance our data products.