Nubank

Machine Learning Engineer

• Build, train, validate and deploy machine learning models driving credit, fraud, risk, personalization and AI-native experiences
• Frame ambiguous business problems as well-defined modeling problems
• Engineer and maintain features and datasets for training and inference
• Deploy and maintain ML models in batch and real-time scenarios
• Integrate models with other systems and monitor operational and business metrics
• Lead modeling projects end-to-end, from problem framing and stakeholder alignment through delivery, monitoring and iteration
• Contribute to the design, documentation, maintenance and optimization of modeling codebases, platforms and tooling
• Translate business needs into modeling strategies aligned with Nubank’s architecture and long-term goals
• Partner with technical and business stakeholders to define strategies and deliver high-impact models
• Share knowledge, mentor peers and contribute to ML and data literacy initiatives
• Work with large-scale training and experimentation pipelines, feature stores, distributed data processing, AWS, Kubernetes, CI/CD, experiment tracking, model versioning and modern ETL/ELT practices

Lead Machine Learning Engineer

Business Analyst

• Conduct investigative work to determine which data is appropriate for each situation
• Design tests or extract information when needed data is unavailable
• Support the team in making data-based decisions by monitoring analyses and decisions
• Ensure project flow and make risk-taking processes comfortable despite uncertainty
• Mentor the team
• Understand products and interactions with other areas
• Drive customer growth for Nubank’s credit card and savings account acquisition, activation, and channel strategy
• Lead and develop a team of business analysts embedded across the Business Unit
• Set the analytics roadmap and own the squad’s OKRs
• Build the operating model that turns acquisition and activation data into business decisions
• Optimize performance and budget allocation across channels
• Lead migration to an AI-ready data architecture
• Build experimentation and monitoring infrastructure for fast, confident decision-making
• Participate in projects impacting a large number of clients

Lead Machine Learning Engineer

Business Analyst Manager