https://en.wikipedia.org/wiki/Machine_learning

As AI becomes more prevalent, the need for MLOps professionals is on the rise. MLOps ensures machine learning models perform as expected in production by focusing on monitoring, maintenance and model deployment.

Managing machine learning at scale is no small feat 🤯 Carefully tracking metrics ensures models behave appropriately over time. Unexpected bias or unfair treatment must be caught and corrected.

MLOps allows data scientists to do what they do best – build powerful algorithms. Without proper operational practices, however, that potential stays locked away in the lab.

By standardizing workflow for productionizing models, MLOps helps machines help people at their full potential 🤝 What opportunities exist at your organization to apply these high-demand skills?

The future of work is powered by AI – are you evolving with it? Jobs that integrate machine learning seamlessly into core operations will only multiply. What’s your plan to develop proficiency in this emerging field?👨‍💻

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