Kubeflow Jobs in Germany

In this role, you will develop ETL/ELT paths from various source systems, create data models, and lead projects. Moreover, you will support new technologies and provide training and mentoring for students.

In this role, you analyze requirements, visualize data, and apply AI methods. You also bring transparency to complex models using XAI and work with modern technologies on-site or remotely in various projects.

In this role, you design system architectures for analytical data processing, create data models, conduct Proofs of Concept, and facilitate workshops and training sessions.

In this role, you will develop powerful algorithms for personalized shopping experiences and deploy them into production, driving innovative solutions in a dynamic team environment.

In this role, you will build ML-based software systems, work with diverse datasets, and optimize the MLOps platform to efficiently productionize AI applications.

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 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 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.