MLflow Jobs in Germany

In this role, you develop data-driven approaches to support journalism, conduct analysis projects, implement AI models, and prepare complex data for various stakeholders.

In this role, you develop data-driven analysis projects, work on machine learning models, and optimize key data processes to support user-oriented journalism.

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 role, you develop computer vision models for automated defect detection in ceramic components and manage image processing pipelines, including data annotation and augmentation.

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 develop complex machine learning models and backtesting frameworks to analyze real-time esports data. You will enhance model performance and implement them into production-grade pipelines.

In this role, you will develop modern data products on our Azure Databricks platform, manage a data domain, and be responsible for integrating new data sources and modeling business logic.

In this role, you shape our data platform, develop data products for various business areas, and automate data pipelines on Azure Databricks while collaborating closely with the departments.

In this role, you will develop modern data products on the Azure Databricks platform, manage data pipelines, ensure data quality, and work closely with business departments.

In this role, you will develop modern data products and actively shape our data platform on Azure Databricks by creating data pipelines, ensuring quality, and closely collaborating with business departments.

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 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 design and develop AI-based applications, train ML models, and implement robust data pipelines in the Databricks environment while collaborating closely with business units.