I’m hiring a Machine Learning Platform Engineer position. We barely get any candidates and it’s rare that we find someone with the skills required. It’s just that my team is niche and requires a person to wear many hats. It’s a very cool position as we get to learn just about all the spectrum of SWE, from backend to ML to data and devOps. But the supply of MLP engineers are not there
I do this kind of stuff at my current role: - ML modeling in sagemaker using PyTorch / tensorflow - python backend api development whenever a team may need some stuff - pyspark ETL stuff for data wrangling - ML infrastructure development on AWS using terraform / serverless framework / cloudformation / GitHub actions for deploying models to production Is that the kind of experience you’re looking for? If that’s the case I think a lot of the times I’m just turned off by leetcode interviews lol. I guess it depends on your interview process!
We use different tech stacks but close enough. You should apply! DM if interested
Train. Double the compensation.
I hire people with 1-2 key skills I need and train them. This way Interviews are also more interesting.
Hire a Sr recruiter, pay them at least 200k
Why can't you just hire data engineers? I thought majority of ML work is just cleaning and formatting data.
If you’re able to train up people you should hire me. I can learn quickly lol. IMO, it’s just as difficult searching for positions that encourage this. It sometimes seems like a lot of orgs would rather employees function in more narrow roles than actually take on more meaningful positions.
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Hire college grads and train.