Vanguard
Senior Machine Learning Engineer
Malvern, PA · Senior
Sponsorship not specifiedDetected 5 days ago
PythonAWSCI/CDMachine LearningTensorFlowPyTorchscikit-learnPandasNumPyData EngineeringData ScienceMLOpsIncident ResponseResearchCollaboration
About the role
- To work for the long-term financial wellbeing of our clients.
Responsibilities
- Develop and maintain feature engineering, feature storage, and data preparation pipelines.
- Build batch, real-time, and event-driven architectures.
- Partner with quantitative researchers and data scientists to productionalize research models.
- Manage model versioning, lineage tracking, experiment management, and reproducibility.
- Optimize model performance, scalability, reliability, and cloud cost efficiency.
- Support production operations, incident response, and continuous improvement of deployed models.
Requirements
- Minimum of eight years related work experience, with at least three years of development experience.
- Expertise in Python and modern data science libraries (Pandas, NumPy, Scikit-Learn, PyTorch, TensorFlow, or similar).
- Hands-on experience with AWS services, including SageMaker
- Knowledge of MLOps practices, including CI/CD, model versioning, experiment tracking, monitoring, and automated retraining.
- Strong understanding of software development lifecycle practices, testing strategies, and production support.
Nice to have
- Undergraduate degree or equivalent combination of training and experience.
- Graduate degree preferred.
Benefits
- Design, build, and maintain end-to-end machine learning pipelines from research through production deployment.
- Implement model monitoring for performance, drift detection, data quality, and operational health.
Visa & Work Authorization
- Vanguard is not offering visa sponsorship for this position.
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This listing is sourced directly from Vanguard's careers page and normalized into a canonical job model.