DTC's minis - From Data Engineering to MLOps - Sejal Vaidya

We don't have a new episode this week, but we have an amazing conversation with Sejal Vaidya from August

We talked about

• Sejal's background


• Why transitioning to ML engineering


• Three phases of development of a project


• Why data engineers should get involved in ML


• Technologies


• Tips for people who want to transition


• Soft skills and understanding requirements


• Helpful resources

Resources:

• ML checklist (https://twolodzko.github.io/ml-checklist.html)


• Machine Learning Bookcamp (https://mlbookcamp.com/)


• Made with ML course (https://madewithml.com)


• Full-stack deep learning (https://fullstackdeeplearning.com)


• Newsletters: mlinproduction, huyenchip.com, jeremyjordan.me, …

data data engineering dtc engineering mlops