Because the high-level path of bringing trained R models from the local R environment towards the cloud Azure ML is almost identical to the Python one I showed two weeks ago, I use the same four steps to guide you through the process:
Export the trained model
Zip the exported files
Upload to the Azure ML environment
Embed in your Azure ML solution
Read the whole thing.