Lead Machine Learning Engineer at Nubank

Belo Horizonte, Minas Gerais, Brazil -

Full Time

Start Date

Immediate

Expiry Date

17 Mar, 26

Salary

0.0

Posted On

17 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Science, Programming, Cloud Services, Software Engineering, Data Engineering, Model Deployment, Statistical Concepts, Feature Engineering, Job Scheduling, Mathematical Analysis, Stakeholder Interaction, Model Monitoring, Operational Metrics, Business Metrics, Tooling

Industry

Financial Services

Description

About Us Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building. Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. 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 Relocation Assistance Package, if applicable Work Model for this Role Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

Responsibilities

The Lead Machine Learning Engineer will interact with stakeholders to apply data science and AI to the business, monitor and maintain ML models, and deploy them in various scenarios. They will also help build and maintain tooling and platforms to scale operations across teams.