ML Engineering is Not What You Think - ML jobs Explained

What are the differences between a Data Engineer, ML Engineer, Data Scientist, and so on? Multiple different ML roles do different things but it took me way too long to figure things out...
What do I really want to become? A Data Scientist? An ML Engineer? A researcher?
In this video, I'll do my best to explain what the different ML roles mean!
Enjoy 💛

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================== Timestamps ================
00:00 - Intro
00:32 - Data Engineer
02:39 - Data Scientist
04:53 - Applied Scientist
07:17 - ML Engineer
09:47 - Research Engineer/ Scientist
=============================================

#ai #datascience #machinelearning

[neelalohithrkashyap]

I was literally confused about these roles before I even watched this video. Thank you for making this video and helping me get clarity on each role and their specific responsibilities.

[ShivamGupta-qhgo]

i watch his videos and end up with the thought, 'bruh, i still dont know shit'

[PrimordialLegend]

I've been binge watching all your videos. Learned a lot tbh. Thank you for clearing these concepts so easily.

[agenticmark]

Very good video, and your last points about it being easy for software engineers to move into ML. Anyone who has spent years building systems in many industries will be able to generalize the new data from ML.

Researchers and developers need each other, and I rarely find someone who is great at both.

[bigcook]

A lot of folks doing ML research in universities do not have a basic understanding of what ML engineering looks like in the real world. They should watch this and learn about deep learning systems.

[bridgey]

As an ML Engineer, I feel like we're a slightly worse version of each of the other roles, which can actually be really valuable for a company. I've done ML Ops (deploying LLMs into prod), Data Engineering (ETL pipelines, data lakehousing), Data Science (building bespoke models from scratch), Software Engineering (building the system to run everything on) all under the same job role with the same company.

[adyb]

By far the best video on differences between various ML profiles....kudos!!!

[shklbor]

Pretty clear video, well done. Additional roles like MLOps Engineer and AI Engineer are also emerging

[Corporal-Clegg]

When a dude has this accent you know he is good at ML

[jonkazmaier]

This clears a lot of things up. Thank you for taking the time to make this!

[joeskwara]

I’m a recruiter in this space and this gentleman knows his stuff. Great video

[mahiaravaarava]

Machine Learning Engineering might not be what you expect; it's more than just coding algorithms. It involves building and optimizing end-to-end systems, managing data pipelines, and ensuring models integrate smoothly into production environments. The role blends technical expertise with practical problem-solving, making it a dynamic and multifaceted career in the tech industry.

[TheBurntHoney]

Hey man, love your videos and explanations. :)

[vaqola]

Thanks for the explanations man, i was indeed confused about these roles

[NhiLe-lrsx]

This is the best video I've found on the topic! Can definitely confirm that the details are pretty accurate based on my experience in DE, DS and MLE. Can you make a video on applied scientist role, eg how to develop problem solving skills for such a role, example projects to build such as kaggle competitions, etc? Thanks!

[somethingwine]

Thank you for the clear explanation! This is very helpful to me !

[infinitedonuts]

To be a machine learning specialist, do I need to be skilled at building machine learning models at a low level from scratch (not using existing machine learning packages)?

[jenreiss]

this video reads like a resume pre prepared for when the ML bubble pops

[StEvUgnIn]

ML Engineering: DataOps, back-end, etc.
Data Engineering: Database, data extraction, feature extraction, storage, etc.

[atulrwt]

I have a genuine question. There is Data Engineer, ML Engineer and AI Engineer. Do you see in future any of these merging together? Should we try to be an ML Engineer or directly jump to being an AI engineer?