Optimal ML Team Structures: Balancing Data Science & Engineering Roles

Struggling to build a productive AI team? This article breaks down ideal DS-to-ML ratios for startups, growth companies, and mature enterprises. It explains how pairing data scientists with ML developers prevents friction and accelerates deployment timelines. Get strategies to hire complementary skills, foster collaboration, and avoid hiring “unicorns” expected to do both research and engineering. A must-read guide for tech leaders building AI teams.

Visit: https://www.amplework.com/blog/hire-ml-developers-and-data-scientists-together/