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Non-traditional Career Paths in MLOps // Matthew Dombrowski // MLOps Podcast #144
MLOps.community
Machine Learning
With ambiguity comes opportunity. I think that's something that's especially true and broadly true in general but especially in machine learning right in such a fast moving space where things are constantly changing from models to technology or team organization, just all these aspects. From a career perspective you know things are it's not the best timing in the world right now so don't get like too caught up in a lot of the distractions. Don't dive deep into the latest sexy stuff but give it at least a few months or years to bake before investing a lot of your time into it because technologies do fizzle out or not get adoption.
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