admils

Apache with Analog Analytics is good.

Contract Python / JS engineer, working on the largest GAE app (internal, but 2400% RoI so well regarded). - GAE was missing basic functionality that we (as their biggest customer) couldn't get them to work on. The engineer in charge of GAE had other tasks and didn't care for this role. We ended up doing this work ourselves and I'm relatively sure this is now inside the App Engine SDK.

- Delivery was incredibly badly managed, I have to shut one one eye when I sneeze due to sinus damage caused by working when ill on a project with global visibility and no cover.

- 'Decisions based on data' isn't a thing: if you want an outcome, you research to that outcome or don't depending on how you feel.

As others have said having Google on your resume is great.

Data Analytics. There is so much data is being generated and worldwide enterprises are lagging so much in discovery and leveraging insights in data - so there are lots of fun work here.

Add ML and AI here.

Applying it to above gives you even more powers.

And then - you can apply these to any other discipline.

A good Q. You can steal the voice of somebody like Lester Holt or Tanaka Rie with about 20 hours of audio where you manually splice segments to compose sound. Sometimes you can lift a sentence, sometimes you compose paired phonemes. It is a lot of work, but it has been possible long before deepfakes.

No matter what you will need to listen to the voice and give feedback, pro narrators have directors just as actors do and it is what makes them sound so good.