Machine learning has transitioned from an individualistic approach to a collaborative one, enabling the collective effort to address increasingly complex challenges as they arise. One challenge that emerges is the management of a collaborative development process in machine learning projects. This paper outlines a collaborative environment KEENsight that leverages the benefits of a collaborative approach by orchestrating various open source tools. It establishes an optimal setting for code collaboration, model generation, data sharing, and the utilization of computational resources not limited to a single location. Through the integrating of these tools, KEENsight aims to streamline the development process and enhance productivity in machine learning.