Row 6588

Row ID: 6588 | Dataset Entry | Axioma AXP Content Repository

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Well, not really linear regression, I'll explain, my current work, we use very basic ML algorithm for our very basic problems which I believe is the correct approach. However I feel the lack of new technology will hurt me on the long run when I eventually move places. I tried to tell my manager that I'm even willing to work on multiple project at the same time if they were interested enough and have new technology, but so far there is no need to do so from business standpoint. I'm somewhat in a place where I am constantly looking for new opportunities, but with the lack of real experience using new tech, I feel it will be hard. Last couple of days, I have been trying to learn and implement my own RAG system which is way fun to do, I just hope it was implemented in an actual environment not personal projects. How can I stay on the curve and be a good competitor in the ML market?

some context: almost 2 YOE, working as a ML engineer in a fintech.

FieldValue
text Well, not really linear regression, I'll explain, my current work, we use very basic ML algorithm for our very basic problems which I believe is the correct approach. However I feel the lack of new technology will hurt me on the long run when I eventually move places. I tried to tell my manager that I'm even willing to work on multiple project at the same time if they were interested enough and have new technology, but so far there is no need to do so from business standpoint. I'm somewhat in a …
label r/datascience
dataType post
communityName r/datascience
datetime 2024-05-11
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Raw Record

{
  "text": "Well, not really linear regression, I'll explain, my current work, we use very basic ML algorithm for our very basic problems which I believe is the correct approach. However I feel the lack of new technology will hurt me on the long run when I eventually move places. I tried to tell my manager that I'm even willing to work on multiple project at the same time if they were interested enough and have new technology, but so far there is no need to do so from business standpoint. I'm somewhat in a place where I am constantly looking for new opportunities, but with the lack of real experience using new tech, I feel it will be hard. Last couple of days, I have been trying to learn and implement my own RAG system which is way fun to do, I just hope it was implemented in an actual environment not personal projects. How can I stay on the curve and be a good competitor in the ML market? \n\n  \nsome context: almost 2 YOE, working as a ML engineer in a fintech.",
  "label": "r/datascience",
  "dataType": "post",
  "communityName": "r/datascience",
  "datetime": "2024-05-11",
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}
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