Sept. 21, 2022, 4:21 a.m. | /u/ida88cd

Machine Learning www.reddit.com

We know data processing is a vital part of MLOps, especially for AI engineers focusing on data collection and the outcome of the model prediction. The biggest challenges are the uncertainty of data quality (such as data drift) , the high cost of experiments, and the lack of proper tools for data labeling.

Like Dr. Andrew Ng mentioned in his lecture <MLOps:From Model-centric to Data-centric>, it is more efficient and prominent to adjust data other than models for improving performance. …

curation data data curation data labeling labeling machinelearning project

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US