Azure OpenAI Jobs in Germany

In this role, you will develop AI agents and workflows, create integrations and features for websites and tools, while implementing technical concepts for secure AI solutions in the healthcare sector.

In this role, you will develop AI applications from idea to solution, integrate AI services into business processes, and implement use cases in short iterations while working closely with users and stakeholders.

In this role, you will develop AI features throughout their lifecycle, from rapid prototyping and proof-of-concepts to scalable production environments and intelligent agents.

In this role, you develop AI and ML models along with data pipelines, optimize their performance, and closely collaborate with stakeholders, departments, and your team to ensure project success.

In this role, you will develop data-driven solutions using Machine Learning and AI, provide strategic consulting to departments, and integrate new data sources into modern data lake architectures.

In this role, you will implement cloud and AI solutions on Microsoft Azure, work with Infrastructure as Code, develop machine learning models, and execute Dev(Sec)Ops practices.

In this role, you will design the architecture for AI/ML solutions on Azure, collaborate closely with clients, lead technical teams, and establish MLOps best practices to implement innovative AI projects.

In this role, you will build AI models on Azure, implement ML solutions, process datasets, and conduct experiments for model optimization while collaborating closely with a cross-functional team.

In this role, you will develop AI and ML solutions using Azure, train models, implement data movement pipelines, and ensure compliance with security standards in regulated industries.

In this role, you design AI solutions on Azure and lead projects to implement Machine Learning in large enterprises while guiding your team with best practices and integrating innovative technologies.

In this role, you will develop cloud applications, integrate AI use cases, optimize AI prototypes, and ensure the quality of solutions concerning regulatory requirements like the AI Act.