When should a company build an internal ML platform versus assembling MLflow, K8s, and Airflow?
PICTURE THIS: RAG CHATBOT
Simple meaning
Build when many teams share the same pain and you can staff on-call
WHY — Platform instead of guessing?
Why interviewers care about Platform:
contrast on Platform, not two memorised paragraphs.
the developer, then one case where picking wrong hurts.
Name the idea, why it exists, then one short example.
End with when you use it and one common pitfall.
STEPS — What happens step by step?
Before you speak the answer, walk the interviewer through these steps:
- 1Build when many teams
share the same pain and you can staff on-call
- 2assemble when you have
one or two models.
- 3A platform's value is
paved paths: registry, features, CD, and monitoring as defaults.
- 4Interviewers want you to
start from user journeys, not from buying every logo.
- 5Common mistake
What juniors usually get wrong.
- 6Close
When you pick this over the alternative.
EXAMPLE — See it in action
Here's a short line you can speak, broken into clear beats:
Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.
Key takeaway
Build when many teams share the same pain and you can staff on-call assemble when you have one or two models.