Submitted by nopainnogain5 t3_11ryvao in MachineLearning
[deleted] t1_jcawoko wrote
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nopainnogain5 OP t1_jcax5q1 wrote
High chance you're right
I_will_delete_myself t1_jcblldw wrote
People can't do deep learning or AI without the tools to make them happen. Imagine how complicated the data collection methods at the scale of Terabytes of data and cleaning it. People also need to annotate data for it to work which requires software to get it done in a cost effective manner.
chef1957 t1_jcbzcfe wrote
I agree with this. I used to do Machine Learning but shifted to working at an open-source company (Argilla), to be more involved with data quality instead of overfitting and building models without enough data.
nopainnogain5 OP t1_jcc8xe3 wrote
How would you call your position? Is it software engineering / data engineering or yet something else?
chef1957 t1_jcenkpv wrote
It is more software engineering working on the core package and creating educational content (videos, presentations etc.) about getting from no data to a decent baseline model. Combining both, really helps to understand what people struggle with.
nopainnogain5 OP t1_jcc8rje wrote
Do you mean roles such as data engineer / MLOps?
[deleted] t1_jcaxxmo wrote
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