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CommunismDoesntWork t1_ist73vi wrote

>I mainly did NLP work for 3 years

Did you apply to an NLP job? Machine learning skills aren't transferable. "ML engineers" don't exist. You can be an NLP engineer, a computer vision engineer, a data scientist(they work with tabular data and probably use pandas), and I'm sure you can be whatever the stock market guys call themselves. But you absolutely can't be all of them just because you know one of them.

However, I'm positive it wouldn't take long for them to train you on their domain if all they're doing is pandas. So it's weird they're being selective.

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Mogady OP t1_istab29 wrote

they are a recruitment platform, that's the point actually they never asked me a specific question related to my experience, just random questions everywhere

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Azmisov t1_istem0z wrote

Recruitment platforms tend to favor generalists, as a lot of contracts are one-off and require you to do everything yourself. Also they might get one NLP job every couple months compared to 50 more traditional data science, so having someone who only specializes in NLP is not great for them.

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Mogady OP t1_isti0cl wrote

who said I only specialize in NLP, yes this is mainly my experience, but I didn't fail to show how to apply a classifier on a traditional dataset, there is a difference between failing to show the ability to do something, and failing to do it 100% correctly within the given "time-frame". Also, they could have simply ignored my resume.

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LegacyAngel t1_istd9uv wrote

> But you absolutely can't be all of them just because you know one of them.

But you can definitely pick up at least intermediate knowledge with enough ground space given. I agree don't interview to a CV job when you are a NLP, but given what most places actually do, i don't think it is such a hard barrier to expect someone to pick up what they need to do in 6 months. I am sure a CV engineer could pick up tokenization relatively quickly.

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