Running a Fintech on Machine Learning  

For this meetup we sat down with Caique Lima and Cristiano Breuel Machine Learning Engineers at the Brasilian Fintech Nubank.   

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 its critical decisions in production are made with ML, in areas such as Credit, Fraud and Customer Service. We discussed how they develop, deploy and monitor ML models, and also talk about how they built those in house solutions over the years. Today they use MLOps to support a team of more than 70 Data Scientists/ Machine Learning Engineers.  

Caique is a 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.  Cristiano, a Machine Learning Engineer at Nubank, works to improve the efficiency and quality of ML development. Previously ML/Data Engineer at Google, specializing in MLOps, and Software Engineer at IBM.  

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