AI/ML Engineer

The Vanguard GroupCharlotte, PA
6hHybrid

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.

Requirements

  • Gen AI experience - finetuning SLMs , application evaluation
  • Experience with AWS suite of tools such as bedrock , agent core
  • Undergraduate degree or equivalent combination of training and experience.
  • Minimum of five years related work experience.

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.
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