Kubeflow Jobs in Germany

In this role, you will develop productive ML pipelines, automate data preparation and model training, integrate ML models into business applications, and monitor their performance in a modern AI environment.

In this role, you lead a specialized team, develop an ML/AI Ops platform, and integrate AI models into existing systems using GCP and Kubernetes.

In this role, you monitor production systems, optimize ML and LLM infrastructure, and develop advanced solutions for automation, security, and reliability of platforms in a global environment.

In this role, you develop innovative machine learning models for medical applications, integrate them into software, monitor model quality, and analyze relevant data for feature engineering.

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 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 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.

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.