Senior Machine Learning Engineer

Nubank

. Frame ambiguous business problems as well-defined modeling problems .

Posted 11/11/2026full-timeSão Paulo • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, building, and deploying machine learning models while ensuring statistical rigor and business relevance. Proficient in collaborating with stakeholders to translate business needs into effective modeling strategies and maintaining high-quality production-grade models.

Highest-signal resume keywords

Machine Learning Model DevelopmentPython ProgrammingStatistical AnalysisAWS Cloud PlatformsSQL Querying

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Hard Skills

Machine Learning TheoryModel Training and ValidationRegression TechniquesDeep LearningFeature EngineeringModel DeploymentData Architecture PatternsData VisualizationMLOps ToolingExperiment Tracking

Soft Skills

Strong CommunicationMentoringCollaboration

Tools & Technologies

Scikit-LearnPyTorchTensorFlowXGBoostAWSGCPAzureMLflowFeastAirflow

Industry Keywords

Data LakeData WarehouseData MartDistributed SystemsMicroservices

Tech Stack

Tools & technologies

AirflowAWSAzureCloudDistributed SystemsETLGoogle Cloud PlatformKubernetesMicroservicesPythonPyTorchScikit-LearnSQLTableauTensorflow

About the role

Key responsibilities & impact

Frame ambiguous business problems as well-defined modeling problems
Design, build and validate machine learning models, ensuring statistical rigor and business relevance
Engineer and maintain features and datasets used for training and inference
Deploy and maintain ML models in both batch and real-time scenarios
Integrate models with other systems and monitor them through operational and business metrics
Lead modeling projects end-to-end, from problem framing and stakeholder alignment to 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 model training and experimentation pipelines, feature stores, distributed data processing, AWS, Kubernetes, CI/CD, experiment tracking, model versioning and ETL/ELT data platforms

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 (nice to have)
Familiarity with distributed systems, microservices and asynchronous architectures (nice to have)
Experience with feature stores, MLOps tooling and experiment tracking (e.g. MLflow, Feast, Airflow) (nice to have)
Knowledge of data architecture patterns (Data Lake, Data Warehouse, Data Mart) (nice to have)
Experience with data visualization tools (Looker, Power BI, Tableau or similar) (nice to have)
Knowledge of software engineering best practices: testing, clean code, documentation (nice to have)

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