Amazon SageMaker Jobs in Germany

In this role, you will design a central MLOps platform, architect CI/CD workflows, and collaborate closely with Data Scientists to efficiently manage the entire ML lifecycle.

In this role, you take ownership of production models, including deployment, monitoring, and ensuring the quality assurance of machine learning models in real-time.

In this role, you will develop machine learning models, implement Generative and Agentic AI solutions, and perform statistical analyses to derive valuable insights for optimizing an e-commerce platform.

In this role, you will design AWS architectures, lead technical discovery sessions, and create cloud migration and modern data platform strategies to optimize customer solutions.

In this role, you will develop scalable, cloud-native ML infrastructures on AWS and design production pipelines for personalized recommendations while closely collaborating with Data Scientists.

In this role, you are responsible for the technical architecture for product teams in retail banking, optimizing AI solutions like DocAI and CRM systems, and leading cross-functional teams for data-driven implementation.

In this role, you will develop data ingestion and transformation layers using Apache Spark and AWS, optimize CI/CD pipelines, and work hands-on with modern AI tools to enable data-driven products.

In this role, you will develop data ingestion layers using Apache Spark and AWS services, automate workflows to enhance CI/CD pipelines, and manage infrastructure as code using AWS CDK and TypeScript.

In this role, you develop complex software solutions with a clear focus on AI integration, collaborate closely with stakeholders, perform testing, and support teams with technical challenges in an international environment.