Hey Kaniz, Thanks for your answer.

I'm not sure you understood me - I will try to make it more clear.

I'm trying to automate ML training process for our developers using databricks.

When developer finish with all his code - I packaging it into a wheel file and upload it into databricks file system, This package have an entry points let's call it train for now.

I managed to create a job using the CLI with all the needed configuration but when im trying to run the job im getting an error - cluster Manage access needed to install cluster libraries.

All the code in the wheel file are .py files.

In the job_config.json file i declared on libraries needed for the job to run ( e.g. the wheel file that have been already uploaded)

Is there a way to run the job without getting Manage access error? - to install the library just for the job scope and not for the cluster? ( like notebook scope lib)

Hope its more clear now, If not let me know and i will try to explain better