Coffee Sessions #88

ML Platform Tradeoffs and Wondering Why to Use Them

Javier runs ML Platform at Mercado Libre. We’re here with Javier because he tells us about what the ML platform at Mercado Libre looks like granularly, talk about its purpose, lessons, wins, and future improvements, and share with us some of the most challenging use cases they’ve had to engineer around.

Take-aways

Everything is a tradeoff, the wise design depends on the context (the problem to solve, the people involved, the organization, the users) Help the newcomer, and delight the expert are two separate challenges. Is there a sweet spot?

In this episode

Javier Mansilla

Javier Mansilla

Machine Learning Platform Director, Mercado Libre

During the last 3 years building the internal ML platform for Mercado Libre (NASDAQ MELI), the biggest company in Latam, and the eCommerce & fintech omnipresent solution for the continent. Seasoned entrepreneur and leader, Javier was co-founder and CTO of Machinalis, a hi-end company building Machine Learning since 2010 (yes, before the breakthrough of neuralnets). When Machinalis got acquired by Mercado Libre, that small team evolved to enable Machine Learning as a capability for a tech giant with more 10k devs, impacting the lives of almost 100 million direct users. On a daily basis, Javier leads not only the tech and product roadmap of their Machine Learning Platform, but also their users' tracking system, the AB Testing framework, and the open-source office. Javier loves hanging out with family and friends, python, biking, football, carpentry, and slow-paced holidays in nature!

LinkedIn

Demetrios Brinkmann

Demetrios Brinkmann

Host

Demetrios is one of the main organizers of the MLOps community and currently resides in a small town outside Frankfurt, Germany. He is an avid traveller who taught English as a second language to see the world and learn about new cultures. Demetrios fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and ML. Since diving into the nitty-gritty of Machine Learning Operations he felt a strong calling to explore the ethical issues surrounding ML. When he is not conducting interviews you can find him making stone stacking with his daughter in the woods or playing the ukulele by the campfire.

Vishnu Rachakonda

Vishnu Rachakonda

Host

Vishnu Rachakonda is the operations lead for the MLOps Community and co-hosts the MLOps Coffee Sessions podcast. He is a machine learning engineer at Tesseract Health, a 4Catalyzer company focused on retinal imaging. In this role, he builds machine learning models for clinical workflow augmentation and diagnostics in on-device and cloud use cases. Since studying bioengineering at Penn, Vishnu has been actively working in the fields of computational biomedicine and MLOps. In his spare time, Vishnu enjoys suspending all logic to watch Indian action movies, playing chess, and writing.