Machine Learning Engineer: Day in the life | Learning MLOps on Databricks & balancing daily work

Описание: Watch me try to balance taking a course to extend my MLOps skillset, a newly addictive gaming hobby (it was Factorio release week and I underestimated how distracted I would be), and my daily tasks as a machine learning engineer.

With this video, I wanted to show roughly what I'm learning in the area of MLOps (the link is below) and show realistic progress. Sometimes (most of the time), we don't understand something right away and it takes multiple times to finally set up the environment correctly and organize a good workflow between local dev and cloud environment etc.

... I would say I did "okay" 🙃

Disclaimer: I have very flexible work hours, as long as I work my ~40 hours per week and am available for meetings, it's all good - no, this is NOT the hours I work every day 😅

If you have any further questions, leave them down below :)

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The course I'm taking (it's paid, so I recommend trying to get it reimbursed via your workplace): https://maven.com/marvelousmlops/mlop... - next live cohort starts in January

Factorio (the game I kept playing): https://www.factorio.com/

Instagram, where I post almost daily:   / galaxyinferno.codes  

Blog: https://galaxyinferno.com/