Cloud Engineer AI Workplace (w/m/d)
Core
Build and operate the scalable, compliant Azure Machine Learning platform serving as the central Data Science workspace for developing and testing AI solutions.
Role type
Senior Cloud Engineer (Azure ML & Infrastructure)
Builds
Azure Machine Learning platform, MLOps workflows, and Agentic AI capabilities
Domain
Financial services / Cloud Infrastructure / AI & Data Science
Deliverable
production ML models
Required skills
Azure Cloud Platform, Infrastructure as Code (Terraform), CI/CD pipelines, Azure Networking, Identity & Security concepts, Azure Machine Learning, MLOps, Container technologies
Preferred skills
Agentic AI implementation, Cost optimization, Automation
Technologies
Azure, Azure ML, Terraform, Azure DevOps, GitHub, Microsoft Entra ID, Azure Storage, Azure Key Vault, Azure Container Registry
Responsibilities
Integrate and operate relevant Azure services (Storage, Key Vault, Container Registry, Networking, Monitoring), Evaluate and validate new Azure ML features for Agentic AI and MLOps, Analyze and resolve technical issues while optimizing stability, cost, and performance, Implement security, compliance, and governance standards
Seniority
Senior, hands-on IC
