Senior Machine Learning Engineer
Core
Build, train, and deploy machine learning models for credit, fraud, risk, and personalization decisions at scale, including Generative AI and Agentic Engineering systems.
Role type
Senior Machine Learning Engineer (Production & Strategy)
Builds
Production-grade ML models, forecasting systems, and marketing investment assessment tools for Nu Colombia
Domain
Fintech / Financial Services / Machine Learning
Deliverable
production ML models
Required skills
Statistics, machine learning theory, Python, model training and validation, feature engineering, SQL, model deployment and monitoring
Preferred skills
Cloud platforms (AWS/GCP/Azure), distributed systems, MLOps tooling, data architecture patterns, data visualization
Technologies
Python, scikit-learn, PyTorch, TensorFlow, XGBoost, AWS, Kubernetes, MLflow, Feast, Airflow, SQL
Responsibilities
Frame ambiguous business problems as modeling problems, design and validate ML models, engineer and maintain features and datasets, deploy and maintain models in batch and real-time scenarios, lead modeling projects end-to-end, translate business needs into modeling strategies
Seniority
Senior, hands-on IC with strategic ownership
