Kubeflow Jobs in Germany

In this role, you will implement MLOps frameworks, optimize data pipelines for biomedical datasets, ensure security standards, and collaborate closely with researchers.

In this role, you will be responsible for MLOps, data engineering, and security in AI projects, developing models, optimizing data pipelines, and creating user-friendly AI tools for researchers.

In this role, you will develop advanced ML models for optimizing delivery forecasts and introduce innovative approaches in data processing to enhance supply chain efficiency and improve customer experience.

In this role, you will design an ML platform that simplifies feature engineering, training, and model monitoring. You will standardize the infrastructure and collaborate closely with data scientists to create effective solutions.

In this role, you will develop tools for machine learning platforms, support data scientists in feature engineering, and standardize ML infrastructure for improved user experience.

In this role, you will develop tailored ETL/ELT solutions for clients in the financial sector, create specific reports and dashboards, and work on innovative data models as well as modern technologies.

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 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.