AI/ML Engineer

Vanguard•Malvern, PA

2d•Hybrid

About The Position

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. Vanguard, one of the world's largest investment management companies, serves individual investors, institutions, employer-sponsored retirement plans, and financial professionals. We have a diverse and talented crew with a culture that promotes teamwork, along with an unwavering focus on serving our clients' best interests. This website uses "cookies" to distinguish you from other users. A cookie is a small file of letters and numbers placed on your computer or device. This helps us to provide you with a good experience when you browse our website and also allows us to improve our site and services. The cookies are stored locally on your computer or mobile device. To accept cookies you can continue browsing as normal. Or you can go to our Privacy Policy to read more information and learn how to change your preferences.

Requirements

Undergraduate degree or equivalent combination of training and experience.
Minimum of five years related work experience.

Nice To Haves

Gen AI experience - finetuning SLMs , application evaluation
Experience with AWS suite of tools such as bedrock , agent 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.