This story was originally published on HackerNoon at: https://hackernoon.com/how-to-structure-your-machine-learning-team-for-success. This article discusses alternative ML team organizational models and recommendations for matching team structures to the company's stage of development. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning. You can also check exclusive content about #ai, #future-of-ai, #machine-learning, #organization-design, #business-strategy, #team-building, #team-productivity, #hackernoon-top-story, and more. This story was written by: @cheparukhin. Learn more about this writer by checking @cheparukhin's about page, and for more stories, please visit hackernoon.com. Machine Learning teams are vital for innovation. Choose team structures based on your company's stage: Centralized for startups, Federated for growth, and Embedded for integration. Transition thoughtfully and achieve success by aligning structure with growth.