Build and improve machine learning systems for real-time transaction underwriting decisions.
You'll build and improve machine learning systems that make real-time transaction underwriting decisions using Python, PyTorch, and gradient boosting frameworks like LightGBM and XGBoost. The role involves working with large-scale data processing through Spark and orchestrating workflows with Airflow, MLflow, and Kubeflow. This is a mid-level permanent position based remotely in the US, requiring full-time commitment and English proficiency.
Membership is €29/month, cancel anytime: every rate, every original listing link, and a daily alert for roles matching your filters.
Found at a specialist agency · listed 7 August 2026 · InsideJobs links you to the original posting.