Senior Machine Learning Engineer
Hybrid
Core
Build, train, and deploy machine learning models for credit, fraud, risk, and personalization decisions at scale.
Role type
Senior Machine Learning Engineer
Builds
AI-native experiences and decisioning systems for millions of customers
Domain
Fintech / Financial Services
Deliverable
production ML models
Required skills
Python, machine learning theory, statistics, SQL, model deployment, feature engineering, CI/CD
Preferred skills
Generative AI, Agentic Engineering, cloud platforms (AWS/GCP/Azure), MLOps, distributed systems
Technologies
PyTorch, TensorFlow, XGBoost, scikit-learn, AWS, Kubernetes, MLflow, Feast, Airflow
Responsibilities
Frame business problems as ML problems, design and validate models, engineer features, deploy models in batch and real-time, lead end-to-end modeling projects, optimize codebase and tooling
Seniority
Senior, hands-on IC
