ai-jobs.net · @aijobs
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Mikiko · @mikiko
255 followers · 164 posts · Server data-folks.masto.host

[Part 5]
💭 If you're reading this & you've been involved with developing an ML Platform, how did you approach the "centralize vs distributed" discussion? What worked? What failed?

👇 Let me know in the comments below!

#MLops #mlplatform #AI #strategy #dataops #dataengineering #devops #platformengineering #platformdesign #mlengineer

Last updated 2 years ago

ai-jobs.net · @aijobs
37 followers · 154 posts · Server mstdn.social
Mikiko · @mikiko
244 followers · 142 posts · Server data-folks.masto.host

🧠 Everyone else: <LLM Experts, producing multi-modal Gen AI systems. >

🤓 Me: <Still troubleshooting that lambda function to calculate Euclidean distance of lat/long columns in Polars Dataframe for a sample project in Colab. > 😅

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#datascience #MLops #productionml #AI #mlengineer

Last updated 2 years ago

Mikiko · @mikiko
239 followers · 137 posts · Server data-folks.masto.host

Build vs Buy, Centralized vs Distrib...

These are false dichotomies as many orgs follow a similar path of:
1️⃣ When building new, first centralize
2️⃣ Move to distrib. model to avoid blocking
🔁 Start cycle again

So really, pull & release, pull & release is closer to the actual cadence & is also why the responses are so....lame when panels are asked "How do you navigate the Build vs Buy dilemma?" for the 100th time.

#MLops #mlengineer #datascience

Last updated 2 years ago

Mikiko · @mikiko
155 followers · 53 posts · Server data-folks.masto.host

I think it's tremendously impt to understand lower-level concepts to become a great and for the long-haul.

But if you're struggling to break in, first evaluate whether the gap is actually understanding high-lvl concepts. #🐘

#datascientist #mlengineer

Last updated 2 years ago

Mikiko · @mikiko
155 followers · 55 posts · Server data-folks.masto.host

But if you're struggling to break into , , , first evaluate whether the gap is truly at the programming level and not at the workflow, project, and practices level.

#🐘

8/8

#datascience #mlengineer #MLops

Last updated 2 years ago