Row 58988

Row ID: 58988 | Dataset Entry | Axioma AXP Content Repository

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An ml engineer is a data scientist that knows how to write production code and understands the limits of distributed systems. Understands that 500 mb is enough data for a single worker node, understands partition mapping, broadcasting, scheduling; understands rdd or partitioned data frames, and can manage ml flow pipelines... And actually likes managing these systems. Imo a good ml engineer would probably also like refactoring crappy data science code for data scientists, with a knack for being able to translate pandas based algos into spark or dask distributed tasks. The whole occupation is only useful if you can track hyper parameters and how your data generation process is changing.

FieldValue
text An ml engineer is a data scientist that knows how to write production code and understands the limits of distributed systems. Understands that 500 mb is enough data for a single worker node, understands partition mapping, broadcasting, scheduling; understands rdd or partitioned data frames, and can manage ml flow pipelines... And actually likes managing these systems. Imo a good ml engineer would probably also like refactoring crappy data science code for data scientists, with a knack for being …
label r/datascience
dataType comment
communityName r/datascience
datetime 2024-05-23
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Raw Record

{
  "text": "An ml engineer is a data scientist that knows how to write production code and understands the limits of distributed systems. Understands that 500 mb is enough data for a single worker node, understands partition mapping, broadcasting, scheduling; understands rdd or partitioned data frames, and can manage ml flow pipelines... And actually likes managing these systems. Imo a good ml engineer would probably also like refactoring crappy data science code for data scientists, with a knack for being able to translate pandas based algos into spark or dask distributed tasks. The whole occupation is only useful if you can track hyper parameters and how your data generation process is changing.",
  "label": "r/datascience",
  "dataType": "comment",
  "communityName": "r/datascience",
  "datetime": "2024-05-23",
  "username_encoded": "Z0FBQUFBQm5Lak1ZZHZRdFBPS094RjREaTIya0ZfeURtalJPVkdEdGZyY0ZLSloxUk05WjM0Z1phRi0tdUpPVExJRkx3T0VseVZ2TUlsSnRJMGlYMFFZTldWc3lsQ1lMRVE9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9uWlRkYi1EeE9oZ01sTGNtT2RXV2NvQnI5OFdxUjZFM2VQRi1ZRDlKTmYwZzZGSXNnWHhiSmdaWTNfeEJKUm03RFRUcW9ta09uNUZzUzFIRkhFUFVXc0NwOFo0S1cyOTFpVktrQkNVajlYLTFMdE1yMFRvUHJQWmN0NzdtWC1qbE9wbzJtN0lrVmhkdTcxMkpzSURpb0ZVeHJNTEowWHNBTzVqcmxoSVRHbkZ2el9SckJ6alFlOEdfNzBSRU10N1R2"
}
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