Staff ML Scientist - PFI

Build and productize machine learning models for high-performance use cases, leveraging Python for exploratory analysis and model development. Own the ML lifecycle with MLOps practices such as versioning, monitoring, and CI/CD, and deploy models on AWS using SageMaker and supporting services. Apply model explainability (e.g., SHAP) to interpret behavior and diagnose false positives/negatives, working across deep learning frameworks and experimentation via MLflow.