Data Science vs MLE

I’ve recently got an offer for a grad scheme for a bank in which they offer rotations as a data scientist or a machine learning engineer. I basically only have experience doing general software engineering which i really enjoy, and also an ML dissertation project. From what I understand, data science is essentially applied ML in the sense that we would most of the time be given a set of data and be asked to extract information and make predictions using ML, so this would be a bit like dissertation work. I don’t have any real concept of MLE beyond that we would look at how to scale the ML models from the data scientists into production, which might pick at the part of my brain that enjoys building stuff (partly why i enjoy SWE). Which would be a better career choice?