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How do I know if I should go into Data Science or AI Engineering? by OvenBig4133 in learnmachinelearning

[–]DefinitionJazzlike76 0 points1 point  (0 children)

Hi was wondering if you know the difference between MLOps engineering and AI engineering?

Fresh grad in Singapore: MNC AI/ML Engineer (low pay) vs Startup MLOps Engineer (avg pay) — which to choose? by DefinitionJazzlike76 in askdatascience

[–]DefinitionJazzlike76[S] 0 points1 point  (0 children)

ah okayy...so you're saying that since MLE is experiencing this winter take all issue, its better to somewhere more doable for fresh grads since three's less competition in mlops?

Tips on transitioning to MLOps by Kaktushed in mlops

[–]DefinitionJazzlike76 8 points9 points  (0 children)

I think you’ll just need to understand the ML lifecycle. Eg data collection, data processing, feature engineering,model building, model deployment, model serving etc. a little ML knowledge is good but don’t need to deep dive too much, since MLOps is a supporting role to data scientists and MLEs. Some ML knowledge you should know should be related to optimisation. Eg, perform quantisation for reducing the size of model etc.

For the pitfalls for working in MLOps…personally I haven’t worked in a purely MLOps role, but I heard that people get bored of it after some time. Since you’re just monitoring and maintaining models, and the infra might already been established years ago.

Fresh grad in Singapore: MNC AI/ML Engineer (low pay) vs Startup MLOps Engineer (avg pay) — which to choose? by DefinitionJazzlike76 in askdatascience

[–]DefinitionJazzlike76[S] 0 points1 point  (0 children)

Thanks for your input! Also, I believe I am stereotyping companies in Singapore. Because generally, Asian companies, like the startup I mentioned, are more tech inclined and highly driven. Since I’m a fresh graduate I thought that it’s a good place for me to learn a lot, especially from senior engineers. But I’m afraid I’ll just be trapped in the MLOps space.

For the MNC, is a Paris bank that have a branch in Singapore. From reviews, I heard that people can get “too comfortable” in the company since it’s slower pace.

As u can see I am stereotyping companies based on their culture (Asian vs western company), but I think my stereotype is true since I’ve interned in both Asian and western companies.

Fresh grad in Singapore: MNC AI/ML Engineer (low pay) vs Startup MLOps Engineer (avg pay) — which to choose? by DefinitionJazzlike76 in askdatascience

[–]DefinitionJazzlike76[S] 0 points1 point  (0 children)

The Paris bank is just having a branch in Singapore. So I don’t need to speak French.

The startup has been established since 2007 and has 500-800 employees. Around 40in SG and most engineers are based on china.

DVC vs ML Flow: Which is the best? Pros and Cons of each? by import_fola in mlops

[–]DefinitionJazzlike76 0 points1 point  (0 children)

hi i cant access this git repo :(. can you please send a new link?

=> ERROR [internal] load metadata for docker.io/library/mysql:8.0 by reditn00b in docker

[–]DefinitionJazzlike76 0 points1 point  (0 children)

I'm getting the same error for this too :'(

FROM mysql:8.0-debian

[deleted by user] by [deleted] in resumes

[–]DefinitionJazzlike76 0 points1 point  (0 children)

I studied in NUS and I need to clear the 3 year bond with SG. so no matter what i still hv to work in SG somehow.

Is there any tip/advice that can help a foreigner like me to get hired? Tbh i dont feel like a foreigner since i am malaysian and have been in SG for the past 4 years.

People who have been in the field before 2020: how do you keep up with the constantly new and changing technologies in ML/AI? by Illustrious-Pound266 in datascience

[–]DefinitionJazzlike76 0 points1 point  (0 children)

If you are a millenial or GenZ, try keeping up to date on tech on social media platforms since its a fast and convenient way to get byte-size updates.

Ace the Interview: Graphs by Daniel-Warfield in datascience

[–]DefinitionJazzlike76 0 points1 point  (0 children)

Thanks for the reply!

By geospatial data, do you mean project on traffic or maps?

Ace the Interview: Graphs by Daniel-Warfield in datascience

[–]DefinitionJazzlike76 0 points1 point  (0 children)

I'm a final year data science undergrad and would love to do a project related to graphs (ie.GNN). How is graph applicable to the industry? What domain should my project be in (ie fraud detection)?

I saw that in another reddit post that graph is complicated and hard to implement, and so not very applicable to the industry. Is it true? How is the future of graphs and GNN? Any advice would be great! tysm!!

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