793 azure English-speaking jobs in Germany

frameworks (PyTorch, Transformers, LangChain, etc.), data pipelines, and cloud ML platforms (AWS/GCP/Azure

teams Fluent in English Linux experience (Debian or Ubuntu) Scripting in bash and python Microsoft Azure

ResponsibilitiesPitch our consulting services to companies needing Microsoft tech talent (Exchange, Azure

Azure Synapse, Azure AI Foundry, MS Fabric, Databricks Significant expertise in portfolio modelling

You have solid experience working with cloud environments such as AWS, Azure, or Microsoft 365.

tooling for model deployment, lifecycle management, and monitoring in a cloud environment (GCP, AWS, or Azure

scripting Experience with running IaaS, PaaS, CaaS, and SaaS-based landscapes based on the AWS or AZURE

scripting Experience with running IaaS, PaaS, CaaS, and SaaS-based landscapes based on the AWS or AZURE

scripting Experience with running IaaS, PaaS, CaaS, and SaaS-based landscapes based on the AWS or AZURE

scripting Experience with running IaaS, PaaS, CaaS, and SaaS-based landscapes based on the AWS or AZURE

scripting Experience with running IaaS, PaaS, CaaS, and SaaS-based landscapes based on the AWS or AZURE

scripting Experience with running IaaS, PaaS, CaaS, and SaaS-based landscapes based on the AWS or AZURE

Hands-on expertise with Azure, Docker, Kubernetes, Helm.

Familiarity with cloud platforms like Azure for AI model deployment.

Systems, Computer Engineering, or related field Strong experience with Hyperscaler networking (AWS, Azure ... Perform and lead diagnostics of problems, troubleshoot and develop solutions on AWS, Azure & GCP Implement

All solutions developed cloud-native targeting Azure - Infrastructure defined using Terraform - Services ... preferably SQL server You are familiar with cloud development, ideally you have knowledge/experience using Azure

Familiarity with Azure and its data services (e.g., Azure Data Lake, Synapse, Event Hubs). 

Ververica’s Unified Streaming Data Platform across multiple cloud providers, including AWS, GCP, and Azure

Build and manage infrastructure through DevOps, CI / CD, and automation frameworks (e.g., Ansible, Azure

the development and operation of AI/ML infrastructures and automation workflows in the cloud (MS365, Azure