Lead Machine Learning Engineer
Core
Build, train, and deploy machine learning models for credit, fraud, risk, and personalization decisions at scale for millions of customers in Latin America.
Role type
Lead Machine Learning Engineer (Production & Generative AI)
Builds
Production-grade ML models, feature stores, and AI-native experiences for digital banking
Domain
Fintech / Digital Banking / Latin America
Deliverable
production ML models
Required skills
Statistics, machine learning theory, Python, model training and validation, feature engineering, SQL, model deployment and monitoring, stakeholder alignment
Preferred skills
Generative AI, Agentic Engineering, cloud platforms (AWS/GCP/Azure), distributed systems, MLOps tooling, 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, contribute to modeling codebase and tooling optimization
Seniority
Senior, hands-on IC with leadership responsibilities