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DancingRaccoon
DancingRaccoon
Stealth

What do ML engineers do on a day to day basis?

Any ML/AI engineer who can share, what does a day to day work look like for you ? Is it mostly a research based role ? Do you code regularly ?

1mo ago3.2K views
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SwirlyBagel
SwirlyBagel
Wells Fargo1mo

Im more Data Science-ML than SDE-ML

  1. Data Ingestion: Little bit of Data Engineering to get the data right, write spark code and keep a notebook ready for changes
  2. EDA: Lots of statistical tests to understand the features
  3. ML: mostly start with linear regression if numberical or tf-idf when working with words to shape out some relationships
  4. Wait 3 weeks to get access to any higher libraries
  5. Execute the ⚡️Executive Algorithm ⚡️ ie. Make it work and a get business inference but also make it sound good when your Director talks about it to other execs.
  6. Create a ppt that you can only hope to get a chance to present
  7. Hand over Jupyter files to MLOps to put in production if it passes the Model Validation committee (they reach out like 5-6 months after you send them anything).
SwirlyBagel
SwirlyBagel
Wells Fargo1mo

As far as research goes yes, we do have patents filling, paper reading and execution. But mostly my role is focused more on getting an insight/ workable quantitative measure of a metric than anything else.

DancingRaccoon
DancingRaccoon
Stealth1mo

Sounds nerdy. So you've seen more people from CS background or maths background in this role ?

JumpyTaco
JumpyTaco
Goldman Sachs1mo

Depends. The same as being a PM @ Google is different from being a PM @ Infosys.

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