[zmmmmm]

> or example, how did your backend team(using Java?) work in sync with data teams

I guess we are a bit of an outlier, but we deploy the ML using Java / JVM. Not really in the same league as others here so the models are simple enough that the various Java ML frameworks are fine for it (DL4J, Smile, etc). We even do a lot of the interactive exploratory / training type work on the JVM (though via Groovy and Scala with BeakerX notebooks [1] - sometimes combined with Python and R).

I think as the field matures a lot more could move to this model.

[1] http://beakerx.com/

[imagiko]

We once had a team member re-write their R code in Java, using weka just to avoid too much hassle for the back-end team. So I guess you're not alone!