XGBoost Jobs in Germany

In this role, you develop AI-driven solutions, transform complex requirements into technical concepts, and oversee the entire lifecycle of scalable applications, including API development and deployment.

In this role, you develop AI solutions to solve real business problems, design scalable AI frameworks, and operate at the intersection of AI engineering and business impact in a dynamic environment.

In this role, you develop advanced machine learning models to predict churn and customer lifetime value, analyze data patterns, and present decision frameworks to management to support strategic initiatives.

In this role, you will develop AI-driven solutions for analyzing complex telecommunications data and build systems for automated decision-making. You will prototype, operationalize modern ML models, and evaluate their quality.

In this role, you develop scalable AI automation frameworks and translate complex business challenges into technical solutions, working closely with software engineering teams.

In this role, you will develop AI automation frameworks and agent-based workflows, translating complex requirements into technical solutions and closely collaborating with teammates on API development and deployment.

In this role, you will design scalable AI automation frameworks and agentic workflows, translate complex business challenges into technical solutions, and collaborate closely with software engineering teams.

In this role, you will define the technical vision for ML-driven payment optimization, develop ML architectures, lead experiments, and establish standards to enhance ML capabilities across the organization.

You support clients with their data projects, analyze and visualize complex data, design machine learning models, and ensure data quality using appropriate tools and methods within a dynamic team.

In this role, you will develop end-to-end machine learning solutions for time-series applications, validate models, and implement ML pipelines on cloud platforms.

In this role, you will manage customer projects throughout the lifecycle, analyze and visualize data, develop machine learning models, and ensure data quality through effective preparation and manipulation.

In this role, you will develop advanced machine learning models for delivery time predictions and optimize operational efficiencies while collaborating closely with cross-functional teams to implement data-driven solutions.

In this role, you support data projects from conception to implementation, analyzing and interpreting complex datasets while developing machine learning models to solve problems.

In this role, you develop data-driven solutions, implement ETL processes, create recommendation algorithms, and optimize machine learning models for client projects.

In this role, you analyze large datasets using Python and R, develop machine learning models for predictions, and create dashboards to support data-driven decisions across various business areas.