Senior Machine Learning Engineer

Core Responsibilities Design, build, and maintain end-to-end machine learning pipelines from research through production deployment. Engineer scalable training, inference, and retraining workflows using AWS SageMaker. Develop and maintain feature engineering, feature storage, and data preparation pipelines. Automate model deployment, testing, validation, and release processes using CI/CD practices. Build batch, real-time, and event-driven architectures. Implement model monitoring for performance, drift detection, data quality, and operational health. Partner with quantitative researchers and data scientists to productionalize research models. Manage model versioning, lineage tracking, experiment management, and reproducibility.…