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 will develop a scalable and secure AI platform, work with ontologies and knowledge graphs, optimize models, apply modern DevOps methods, and collaborate closely with interdisciplinary teams.

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 design cloud architectures, develop data and AI solutions, and define migration strategies. You closely collaborate with clients to identify technical requirements and validate solutions.

In this role, you will design cloud solutions for clients, lead technical discovery and architecture sessions, and create migration strategies and architecture diagrams aligned with AWS best practices.

In this role, you will develop scalable ML infrastructure and optimize online serving services using Kubernetes while also driving automation and security of platform operations.

In this role, you will transform unstructured data from scanned PDF documents containing chemical structures into searchable knowledge bases, develop ML models, and optimize LLM applications for semantic data interpretation.

In this role, you develop comprehensive machine learning solutions by overseeing the entire ML lifecycle, from model development to deployment and monitoring while collaborating closely with your team.

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 will develop ML models to optimize delivery efficiency and enhance driver productivity, while leading strategic data initiatives and mentoring junior data scientists.

In this role, you will develop ML-based geocoding systems, enhance relevance models, and automate evaluation processes. You will tackle geospatial data challenges and provide mentorship to team members.

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.