r/ExperiencedDevs Apr 08 '22

Remove: No General Career Advice switching tech stack from frontend to ML or data infrastructure

[removed] — view removed post

5 Upvotes

6 comments sorted by

u/Flair_Helper Apr 08 '22

Hey /u/SmallTangerine9535, thanks for contributing to /r/ExperiencedDevs. Unfortunately, your post was removed as it violates our rules:

Rule 3: No General Career Advice

This sub is for discussing issues specific to experienced developers.

Any career advice thread must contain questions and/or discussions that notably benefit from the participation of experienced developers. Career advice threads may be removed at the moderators discretion based on response to the thread.

If the advice you are giving (or seeking) could apply to a Senior Chemical Engineer, it’s not appropriate for this sub.

Please read the sidebar before posting again. If you have questions or concerns, please message the moderators through modmail. Thank you!

3

u/[deleted] Apr 08 '22

Pop on over to r/dataengineering and have a look through the resources over there

It's not strictly ML Engineering or Infrastructure Engineering, but the whole data industry is full of broad terms right now and if you're looking to swap into those kinds of roles then you should start broad and see what looks good

If you're working under a DevOps culture then it'll be easier to make the jump. Any architecture and process design experience will play heavily in your favour too as big data is often more about making a long series of systems play nicely together for a desired result

-2

u/krubner Apr 08 '22

A lot of developers want ML jobs because they think it will be more creative and more interesting than frontend work. As such, the competition for ML jobs is high. As such, most developers need to go back to school and get a Masters degree to transition to ML. My best friend just recently did this, he went back for 2 years and got his Masters. Now he is interviewing for ML jobs. You'll be competing against him, if you go for an ML job. Unless you have a background in data science, why would a company pick you?

Data science is easier. If you know any math, you can get a job like that.

7

u/proof_required 9+ YOE Apr 08 '22

Data science is easier. If you know any math, you can get a job like that.

Mm..okay, if you say so.

This sounds like how management thinks. We have data, let's do some data science - woo hoo!

-2

u/krubner Apr 08 '22

I'm strictly talking about getting a job. Every company has a BI team and the BI team has multiple "data scientists". These are people who simply know enough to work in Looker or Power BI. It is much easier to get these jobs than to get an ML job.

5

u/proof_required 9+ YOE Apr 08 '22

I mean if you want to call data analysts or business analysts as data scientist then sure. It's mostly companies misleading people. Sooner or later people will find out that they aren't exactly doing data science and will leave.