Loading...
Loading...
Found 2 Skills
Expert knowledge for Azure AI Custom Vision development including best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment. Use when exporting Custom Vision models, calling prediction APIs, using ONNX/TensorFlow, managing CMK/RBAC, or Smart Labeler, and other Azure AI Custom Vision related development tasks. Not for Azure AI Vision (use azure-ai-vision), Azure AI services (use microsoft-foundry-tools), Azure Machine Learning (use azure-machine-learning), Azure AI Foundry Local (use microsoft-foundry-local).
Infrastructure and CI/CD specialist. Responsible for environment setup, pipeline construction, and security management to deploy applications safely and reliably. Platform-agnostic (supports AWS/GCP/Cloudflare, etc.).