73 azure English-speaking jobs in Berlin

enable rapid prototyping and seamless deployment of ML models Proficiency in cloud platforms (AWS, GCP, Azure

Experience with Azure environments for data analytics.

Strong technical expertise in: Windows Server, AD, Exchange, SQL Server Linux RedHat, HP-UX Cloud (Azure

Strong technical background in cloud infrastructure (Azure, AWS, or GCP) and modern deployment practices

Practical experience with cloud hyperscalers (Azure, AWS, Google). ... Whether AWS, Azure, or Google – you will work with leading solution providers.

Knowledge of cloud platforms (AWS, Azure, Google Cloud) and SAP BTP.

an ML engineer, Data Scientist, or another similar role Experience with cloud platforms like AWS or Azure

AWS, Google Cloud, or Microsoft Azure). ... Knowledge of cloud-based data storage solutions (e.g., AWS, Google Cloud, Azure).

also establish the necessary tooling and infrastructure for deploying AI models on platforms such as Azure

ML frameworks like PyTorch or PyTorch Lightning Experience with cloud-based ML tooling (AWS, GCP, or Azure

Your Responsibilities: Design, implement, and maintain hybrid cloud infrastructure (AWS preferred, Azure

Experience in cloud data platforms and analytics environments (e.g., AWS, Azure, GCP). _____________

lead innovative projects in the Generative AI space Access to a state-of-the-art tech stack on the Azure

Familiarity with modern DevOps practices: CI/CD pipelines, Docker, Kubernetes, and cloud services (AWS/GCP/Azure

AI/ML experience with Azure OpenAI API (GPT-4, Whisper, embeddings).

with respect for best practices You have knowledge of operating systems (Windows, Unix, Linux, and Azure

Cloud Services and Data Platform Expertise (GCP, AWS, Azure, etc.)

systems: AIX, Linux, Windows; Source code & dependency management: Git & maven; CDaaS : Jenkins or Azure

Familiarity with AWS or Azure for hosting applications.

background in distributed, event-driven systems *Experience in cloud platforms (GCP preferred, AWS and/or Azure