Kubeflow Jobs in Germany

In this role, you implement cutting-edge ML algorithms for game personalization, conduct A/B testing, develop prototypes, and optimize player experiences based on data analysis.

In this position, you design complex AI/ML architectures on Azure, lead technical projects, optimize MLOps strategies, and provide AI governance advice within an interdisciplinary team.

In this role, you will develop scalable ML infrastructure and optimize online serving services using Kubernetes while also driving automation and security of platform operations.

In this role, you will design a scalable MLOps platform, transform research projects into robust software, and optimize the entire ML model lifecycle with CI/CD pipelines. You will support scientists in integrating and utilizing modern cloud solutions.

In this role, you design AI-enabled MLOps frameworks, optimize data pipelines for biomedical datasets, and integrate AI solutions into research workflows while ensuring compliance with security standards.

In this role, you will design MLOps frameworks, optimize data pipelines, and implement security measures while collaborating closely with researchers to integrate AI solutions into their workflows.

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 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.