You would be surprised how little you actually need to know for most software engineering roles. All of the things on the website you linked are generally dealt

You would be surprised how little you actually need to know for most software engineering roles. All of the things on the website you linked are generally dealt with by specialists in industry, rather than being a shared responsibility of all software engineers. The tech stack for ML usually involves some data processing framework, e.g. Apache Spark or Dask or something like that. Some actual ML training system, e.g. scikit-learn, Spark's mllib, TensorFlow/PyTorch for the deep learning stuff that is hot right now, particularly for computer vision/NLP work. And then whatever general programming language the company uses for deploying code into production. I'd keep your hackathon stuff on your resume.