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Nubank

Senior Machine Learning Engineer

Nubank

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

Posted 10/16/2026full-timeBogota • ColombiaSeniorWebsite

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 translating business needs into effective modeling strategies while collaborating with technical and business stakeholders.

Highest-signal resume keywords
Machine Learning TheoryPython ProgrammingModel DeploymentSQL QueryingCloud Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
StatisticsMachine LearningModeling TechniquesRegressionTree-Based ModelsDeep LearningModel ValidationOverfitting UnderstandingEvaluation MetricsData Architecture Patterns
Soft Skills
Strong Communication SkillsCollaboration
Tools & Technologies
Scikit-LearnPyTorchTensorFlowXGBoostAWSGCPAzureMLflowFeastAirflow
Industry Keywords
Data LakeData WarehouseData MartData VisualizationLookerPower BITableauMLOpsFeature StoresMicroservices

Tech Stack

Tools & technologies
AirflowAWSAzureCloudDistributed SystemsGoogle Cloud PlatformMicroservicesPythonPyTorchScikit-LearnSQLTableauTensorflow

About the role

Key responsibilities & impact
  • Build, train, and deploy models driving credit, fraud, risk, personalization, and AI-native experiences
  • Frame ambiguous business problems as well-defined modeling problems
  • Directly contribute to Nu Colombia’s strategy and performance by building forecasting models and models assessing and deciding on marketing investments
  • Design, build, and validate machine learning models with statistical rigor and business relevance
  • 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
  • Translate business needs into modeling strategies aligned with Nubank’s architecture and long-term goals

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
  • Availability to work 2 to 3 days per week onsite at the Bogotá office
  • Legal authorization to work in the country where the position is located

Benefits

Comp & perks
  • Chance of earning equity at Nu
  • Extended maternity and paternity leaves
  • Health and life insurance
  • NuCare - Our mental health and wellness assistance program
  • Nucleo - Our learning platform of courses
  • NuLanguage - Our language learning program
  • Vacations of 15 workdays
  • Gym partnership
  • Work-from-home Allowance
  • Parental Consultancy
  • Relocation Assistance Package, if applicable