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Senior Machine Learning Engineer – Hybrid role in Malvern, PA – PySpark & AWS Glue expert
Join Vanguard’s mission-driven team to build scalable ML pipelines and drive business impact
Core Responsibilities
- Leverages data pipeline designs and supports the development of data pipelines to support model development. Proficient with software tools that develop data pipelines in a distributed computing environment (PySprak, GlueETL).
- Supports integration of model pipelines in a production environment. Develops understanding of SDLC for model production.
- Reviews pipeline designs, makes data model design changes as needed. Documents and reviews design changes with data science teams.
- Supports data discovery & automated ingestion for model development. Performs detailed analysis of raw data sources for data quality, applies business context, and model development needs.
- Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Participates in and influences ongoing business planning and departmental prioritization activities.
- Runs model monitoring scripts, follows process for alerts to management as needed. Addresses issues found in data pipelines from model monitoring alerts.
- Participates in special projects and performs other duties as assigned.
Qualifications
Undergraduate degree or equivalent combination of training and experience.
Minimum of five years related work experience.
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission—we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.