Data Science is no more a buzz word and so the applications around it. One of such application is Face Recognition which is becoming a more prominent and most desirable way of authenticating, identifying & verifying a person. With the advent in the neural networks and with advance ML frameworks, processing images have become simpler than before. New applications are being developed around this On the other hand, distributed processing over commodity hardware is enabling analytics at a much wider scale and increased pace. However, there are certain challenges that come into play when we try to merge machine learning with distributed processing. This White paper aims at sharing the learnings from an attempt to implement Deep Learning based Face Recognition use case using distributed processing. Also, talks about possible strategies that can be implemented to solve similar use cases in your enterprise.