Lead Machine Learning Engineer

Nubank

. Build, train, validate and deploy machine learning models driving credit, fraud, risk, personalization and AI-native experiences .

Posted 9/15/2026full-timeSão Paulo • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building, training, and deploying machine learning models, with a strong foundation in statistics and modeling techniques. Proficient in collaborating with technical and business stakeholders to translate business needs into effective modeling strategies and high-impact solutions.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingAWS Cloud PlatformsModel Lifecycle ManagementData Visualization Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning TheoryModeling TechniquesSQL Query WritingFeature EngineeringModel Validation and TuningData Architecture PatternsStatistical AnalysisDeep LearningRegression AnalysisTree-Based Models

Soft Skills

Strong Communication SkillsMentoringCollaboration

Tools & Technologies

Scikit-LearnPyTorchTensorFlowXGBoostMLflowFeastAirflowLookerPower BITableau

Industry Keywords

MLOpsData LakeData WarehouseData MartDistributed SystemsMicroservicesAsynchronous ArchitecturesExperiment TrackingETLELT

Tech Stack

Tools & technologies

AirflowAWSAzureCloudDistributed SystemsETLGoogle Cloud PlatformKubernetesMicroservicesPythonPyTorchScikit-LearnSQLTableauTensorflow

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

Strong foundation in statistics, machine learning theory and modeling techniques (e.g. regression, tree-based models, deep learning)
Programming experience in Python and familiarity with ML libraries (e.g. scikit-learn, PyTorch, TensorFlow, XGBoost)
Experience training, validating, and tuning models, with solid understanding of overfitting, bias-variance tradeoff and evaluation metrics
Understanding of the ML model lifecycle, from training and evaluation to deployment and monitoring
Ability to write efficient SQL queries and work with analytical data environments
Strong communication skills to collaborate with both technical and business stakeholders
Passion for building high-quality, production-grade models
Experience with cloud platforms such as AWS, GCP or Azure
Familiarity with distributed systems, microservices and asynchronous architectures
Experience with feature stores, MLOps tooling and experiment tracking (e.g. MLflow, Feast, Airflow)
Knowledge of data architecture patterns (Data Lake, Data Warehouse, Data Mart)
Experience with data visualization tools (Looker, Power BI, Tableau or similar)
Knowledge of software engineering best practices: testing, clean code, documentation
Ability to work onsite two to three days per week
Legally authorized to work in the country where the position is located

Benefits

Comp & perks

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 and Dental Plan
NuLanguage – Language Course Program
Nucleo – Our learning platform
Extended Parental Leave, Daycare Allowance and Parental Consultancy
Work-from-home Allowance
Gym Partnerships
30 days of paid vacation
Relocation Assistance Package, if applicable