Machine Learning Engineer, Underwriting
Core
Design, develop, and deploy end-to-end machine learning pipelines to power critical decisions for a consumer finance platform.
Role type
Senior IC machine learning engineer (finance)
Builds
Production ML systems for short-term credit access
Domain
Fintech / Consumer Finance
Deliverable
production ML models
Required skills
Python, Scikit-learn, LightGBM, PyTorch, MLOps (MLflow, Kubeflow, SageMaker), SQL, NoSQL, Docker, Kubernetes, AWS/GCP/Azure
Preferred skills
Feature engineering, hyperparameter tuning, bias detection, explainability techniques, real-time inference
Technologies
Pandas, NumPy, MLflow, Kubeflow, SageMaker, Docker, Kubernetes, AWS, GCP, Azure
Responsibilities
Design and deploy end-to-end ML pipelines; Implement MLOps best practices (CI/CD, versioning, monitoring); Optimize models via feature engineering and tuning; Collaborate on high-performance data pipelines; Manage cloud-based model deployment; Maintain model performance through monitoring and explainability.
Seniority
Senior, hands-on IC
