Jan. 21, 2022, 1:33 p.m. | Luca Bigon

Towards Data Science - Medium towardsdatascience.com

DOING ML EFFECTIVELY AT STARTUP SCALE

Replyable data processing and ingestion at scale with serverless, Snowflake and dbt

MLOps without too much Ops — Episode 4, feat. Jacopo Tagliabue, Ciro Greco and Andrea Polonioli

Introduction

As we discussed in the previous episodes, data is an integral part of ML pipelines: following the data-centric approach and then generalizing a bit, we may say that a sound pipeline for a data company is composed of two main blocks, dataOps (ingestion, …

data dataops dbt mlops mlops-without-much-ops snowflake

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Doctoral Researcher (m/f/div) in Automated Processing of Bioimages

@ Leibniz Institute for Natural Product Research and Infection Biology (Leibniz-HKI) | Jena

Seeking Developers and Engineers for AI T-Shirt Generator Project

@ Chevon Hicks | Remote

Principal Data Architect - Azure & Big Data

@ MGM Resorts International | Home Office - US, NV

GN SONG MT Market Research Data Analyst 11

@ Accenture | Bengaluru, BDC7A