Machine Learning Engineer

Job Summary (List Format) Position: Machine Learning Engineer (ML Engineer) Key Responsibilities Operate and maintain ML pipelines built on Quickflow Optimize and automate ML workflows Scale ML infrastructure to support more customers Release new ML models on a weekly basis Collaborate closely with Data Engineers on data pipelines and APIs Own end-to-end ML infrastructure for decisioning platforms (mobile/web) Transition ML models from Reno fast models to transformer models Must-Have Skills Machine Learning Engineering (ML engineering) Recent hands-on Capital One project experience Strong Python and Scala programming skills Experience with Kubernetes for orchestration Deep knowledge of ML frameworks: TensorFlow, PyTorch, Scikit-learn Real-time data processing expertise Project Scope Work on ML decisioning platforms for campaign arbitration and UI integration Inherit and enhance existing ML data/model training pipelines Expand ML engineering capabilities within the team Focus on feature development and infrastructure scaling Team Structure ML Engineering team collaborating with Data Engineers and Software Engineers Spread across NYC and McLean, VA locations Role complements an existing Data Engineer (focus on ML engineering tasks)#J-18808-Ljbffr