Learn python and then a few frameworks around it. Airflow for pipelines, Pandas/Dask/Vaex/Modin[ray]/PySpark for feature engineering, and then get familiar with ML libraries like tensorflow and scipy. For everything you learn, make a quick document in something like Hugo as a cheat sheet. Keep learning and documenting and you’ll be a pretty good ML engineer in no time. And if you want an easy foray into modeling, maybe start with linear regression and move onto weak ensemble like xgboost.