Nubank is a Fintech providing credit and banking services to more than 20 million customers. Data science has been one of the company's pillars since the beginning, and many of their critical decisions in production are made with ML, in areas such as Credit, Fraud and Customer Service. We discussed how Nubank develops, deploys, and monitors ML models, and also talked about how they built those in-house solutions over the years. Today, Nubank uses MLOps to support a team of more than 70 Data Scientists/ML Engineers.
In this episode
Machine Learning Engineer, Nubank Brasil
Machine Learning Engineer at Nubank, developing software to scale decision making, this goes from model development to monitoring. Always trying to bring good practices from Software development to Data teams.
Machine Learning Engineer, Nubank
Machine Learning Engineer at Nubank, working to improve efficiency and quality of ML development. Previously ML/Data Engineer at Google, specializing in MLOps, and Software Engineer at IBM.
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.