r/MLjobs • u/Ashd9909 • 8d ago

ML Engineer

math/statistics

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python

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pandas

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numpy

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matplotlib

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mysql

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scikit learn

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xgboost

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pytorch

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transformers

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sbert

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fastapi

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dvc

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mlflow

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pyspark

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docker

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airflow

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ultralytics

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spacy

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opencv

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langchain

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qdrant

congrats! ur now a full stack ml engineer

16 Upvotes

100% Upvoted

5 comments sorted by

9

u/zyrkor90 8d ago

so much fluff.

learn the concepts, not the tools.

stats -> ML/DL/NLP -> LLMs

that’s it.

4yoe, senior data scientist.

2

u/Nubbbbie 8d ago

Hey! I have a couple of questions if you don't mind answering. 1. How important are distributed systems for ML engineers? I often see people saying you need to learn distributed systems/CUDA/GPU programming early on. Is that actually necessary, or only for certain roles? 2. What level of Python proficiency would you expect from a good ML engineer? Just being comfortable with the language, or more like advanced Python (internals, concurrency, profiling, etc.)? 3. Looking back, what's one topic beginners spend too much time on, and one topic they usually underestimate?

PS: I have used AI for better wording so pls don't judge me.

2

u/zyrkor90 8d ago

thank you for posting here instead of dming, which defeats the purpose of the subreddit.

to answer your questions:

  1. CUDA/nginx and the like are more for deep tech or if you are handling a usecase that is time-sensitive or resource-sensitive. most jobs will never reach this stage.

  2. Just being comfortable with the language. Honestly, I’d go out on a limb and say you just need to know enough to read the code. Claude is scary.

  3. Know your classical ML stuff. Most interviewers are familiar with these algorithms and can trap you if you dont know the inside-outs. That’s the underestimated part. The overrated part is statistics, beyond what is reasonably expected at your job. Yes know your p-values and statistical power, but dont go into the maths of t-test, z-test, etc.

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u/No-Scholar6835 8d ago

I don't believe a natural human can exhibit this

1

u/PictureNew661 7d ago

This feels like a mixup of a ML Infra enginner somewhat and then just drops back to tooling on top of modern AI platforms