Machine learning as a service (MLaS) is imperative to the success of many companies as many internal teams and organizations need to gain business intelligence from big data. Building a scalable MLaS in a very challenging problem. In this paper, we present the scalable MLaS we built for a company that operates globally. We focus on several scalability challenges and our technical solutions. Video at https://www.youtube.com/watch?v=MpnszJ_3Ong Couldn't attend PAPIs '16? Get access to the other presentations' slides and videos at https://gumroad.com/products/fehon/