Planning persistence of inference results without pickle/dill

[lumip]

Pickle/dill can be notoriously finicky. We do not want to rely on them for storing inference results. Need to find or implement an alternative.
Rough steps:

• requirement analysis of what we need to persist (at least: model metadata (regular python data structures), numpy arrays, user defined executables?)
• research available persistence libraries
• define implementation steps