Senior Machine Learning Engineer

Posted 5 Days Ago
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São Paulo
In-Office
Senior level
Financial Services
The Role
As a Senior Machine Learning Engineer, you will connect ML models to infrastructure, monitor model performance, deploy models in various environments, and help to scale operations across teams through data science applications.
Summary Generated by Built In
About us

Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services. We are one of the world’s largest digital banking platforms, serving millions of customers across Brazil, Mexico, and Colombia. For more information, visit our institutional page https://international.nubank.com.br/careers/

 ML Engineering at Nubank

Data Science is essential to every part of the business at Nubank, since Day 1. Most areas of the company use data science to some extent. ML Engineers are key to connecting ML models and ML-enabled systems to the rest of our infrastructure, while making sure that they work properly, delivering value to our customers. 


As a Machine Learning Engineer, you’re expected to
  • Interact with stakeholders from different functions to understand the best way to apply data science and artificial intelligence to our business;
  • Monitor and maintain models and ML systems to make sure they are working well as measured by performance, operational and business metrics;
  • Deploy ML models both in batch and real-time scenarios, including building pipelines, constructing features and integrating models to other systems;
  • Understand the ML model lifecycle, from inception to deployment and steady-state operation;
  • Help build and maintain tooling and platforms to scale operations across multiple teams; 
  • Be familiar with modeling and statistics concepts; 

Our ideal candidate
  • Has programming experience and is familiar with modern development techniques;
  • Has experience creating, deploying and maintaining ML models and ML-enabled systems using modern frameworks;
  • Is familiar with cloud-based services from vendors such as AWS, GCP, Azure, etc;
  • Is familiar with software engineering and architecture principles and how they enable sustainable and maintainable systems;
  • Is familiar with data engineering routines, pipelines and job scheduling frameworks;
  • Is able to navigate complex mathematical and analytical environments when needed;

Our Benefits
  • Chance of earning equity at Nubank
  • Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
  • Public Transportation Commuting Benefit (Vale-Transporte)
  • NuCare – Psychological, Financial and Legal Assistance Program
  • Life Insurance
  • Medical Plan
  • Dental Plan
  • NuLanguage – Language Course Program
  • Nucleo - Our learning platform of courses
  • Extended Parental Leave
  • Daycare Allowance
  • Parental Consultancy
  • Work-from-home Allowance
  • Gym Partnerships
  • 30 days of paid vacation

Our Nu Way of Working 

Our work model is hybrid and has cycles that can be from two to three months according to the business of ​​expertise. For every eight or twelve weeks of remote work, one will be at the office. Check more information here.

Top Skills

AWS
Azure
Batch Processing
Cloud-Based Services
Data Science
GCP
Machine Learning
Ml Models
Real-Time Processing
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The Company
HQ: São Paulo, São Paulo
13,649 Employees
Year Founded: 2013

What We Do

Nu was born in 2013 with the mission to fight complexity to empower people in their daily lives by reinventing financial services.

We are one of the world’s largest digital banking platforms, serving more than 70 million customers across Brazil, Mexico, and Colombia.

As one of the leading technology companies in the world, Nu leverages proprietary technologies and innovative business practices to create new financial solutions and experiences for individuals and SMEs that are simple, intuitive, convenient, low-cost, empowering, and human.

Guided by its mission, Nu is fostering access to financial services across Latin America.

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