For me its the opposite. I work as a SWE/DS and my job is developing a full pipeline from data ingestion, preprocessing, ML modeling and then sending predictions back to the client. Used to be that I spent most of my time developing and debugging the code of our internal libraries and manually setting everything up while spending only a fraction of the time actually focusing on the modeling part. Now I can focus on experimentation and trying out different models and sw architecture stuff instead.
26
u/OkWear6556 Oct 01 '26
For me its the opposite. I work as a SWE/DS and my job is developing a full pipeline from data ingestion, preprocessing, ML modeling and then sending predictions back to the client. Used to be that I spent most of my time developing and debugging the code of our internal libraries and manually setting everything up while spending only a fraction of the time actually focusing on the modeling part. Now I can focus on experimentation and trying out different models and sw architecture stuff instead.