feat(jobs): MLOps example

[redanrd]

Summary

Machine Learning workflow example using:

• Serverless containers for ML serving.
• Serverless jobs for ML training.
• Container registry for docker images.
• Object storage for creating a data store, a model registry, and a performance monitoring store.

Checklist

• I have reviewed this myself.
• I have attached a README to my example. You can use this template as reference.
• I have updated the project README to link my example.

[cyclimse]

Great example! You were really quick ^^ Would love if you did a quick demo of it!! Or maybe even a blog post :D

My main remark is with secret management (I recommend using serverless container secrets instead of a .env in the image) + unifying the Terraform setup. The rest of the comments can be ignored.

[cyclimse]

Awesome! It's super clean, and I love using the Terraform provider to create the JobDef 😍

You can ignore my comments, it's all nitpicks.