With 7+ years of experience in data science and data analytics roles, would it be necessary to create a portfolio to begin applying to Machine Learning Engineer positions? If I already have the experience using sklearn/tf/keras/etc. in my current role of >2 years, how important is a portfolio when applying to these MLE roles?
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Start contributing to GitHub repositories like tinygrad. If you have the skills of an ML engineer, you can make these contributions. Your work will speak for itself.
This is a joke, right?