Iguazio

JANUARY 16, 2024

This includes a data team, an analytics team, DevOps, AI/ML, and a data science team. The AI/Ml team is made up of ML engineers, data scientists and backend product engineers. The Challenge Like many organizations, the AI/ML team at Sense was finding it challenging to scale its ML operations.

ML 52

ML ML DataOps Data Scientist 52

Iguazio

JANUARY 16, 2024

This includes a data team, an analytics team, DevOps, AI/ML, and a data science team. The AI/Ml team is made up of ML engineers, data scientists and backend product engineers. The Challenge: Scaling ML Operations Like many organizations, the AI/ML team at Sense was finding it challenging to scale its ML operations.

ML 52

ML ML DataOps Data Scientist 52

DataRobot Blog

SEPTEMBER 13, 2022

Many implement machine learning and artificial intelligence to tackle challenges in the age of Big Data. They develop and continuously optimize AI/ML models , collaborating with stakeholders across the enterprise to inform decisions that drive strategic business value. Driving Innovation with AI: Getting Ahead with DataOps and MLOps.

Data Scientist 52

Data Scientist ML ML AI 52