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Jobs · Engineering · Pennsylvania

Machine Learning Engineer, Specialist

Vanguard · Malvern, PA · 1 mo ago
HybridEngineeringFull-time

About the role

Supports and performs the development and programming of machine learning integrated software algorithms to structure, analyze, and leverage data in a production environment.

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 experience; a graduate degree is preferred.
  • Minimum of 5 years of relevant work experience.
  • At least 3 years of hands-on experience designing ETL pipelines using AWS services (e.g., Glue, SageMaker).
  • Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks.
  • Strong understanding of cloud technologies, including AWS and Azure, and experience with NoSQL databases.
  • Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation.
  • Experience with API design and development is a plus.
  • Solid understanding of software engineering principles, including design patterns, testing, security, and version control.
  • Knowledge of Machine Learning Development Lifecycle (MDLC) best practices and protocols.
  • Understanding of solution architecture for building end-to-end machine learning data pipelines.

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.

Our Commitment to Equal Employment Opportunity

Vanguard is an equal opportunity employer. Vanguard is committed to providing all crew members a working environment that is free from discrimination, prejudice and bias. Through this Equal Employment Opportunity (EEO) Policy, Vanguard reaffirms its commitment to equal employment opportunity for all applicants and crew members without regard to race, color, national origin or ancestry, religion, gender, sex, sexual orientation, gender identity or expression, age, disability, marital status, veteran or military status. In addition, Vanguard prohibits discrimination based on genetic information, as well as any other characteristic protected by federal, state or local law.

Empowered to Learn, Grow, and Thrive

  • Rajesh D. - Senior Manager, IT Delivery (2018), Manager, IT Delivery (2014), Technical Scrum Lead (2005), Application Engineering Technical Lead (2001), Application Engineer (2000)
  • Akua A. - Cybersecurity Manager (2022), Senior SIEM Analyst (2021), SIEM Analyst (2019), Incident Response Analyst (2017), Platform Engineer (2012), Application Engineer (2000)
  • Diane T. - Senior Manager, Fraud Engineering (2023), Senior Manager, Cyber Security Operations (2021), Information Security Manager (2018), Information Security Analyst (2017), Systems Engineer, Security Engineering (2015), Systems Engineer, Technology Leadership Participant (2015)
  • Kelly P. - Head of Wealth Management Technology (2023), Head of Personal Advisor Services Technology (2019), Senior Manager, Process Automation (2018), Delivery Manager (2017), Scrum Lead (2016), Application Engineer III (2014), Application Engineer II (2012), Application Engineer, Technology Leadership Program (2011), College to Corporate Intern, Technology (2007)
  • Megan M. - Head of Fraud Prevention Engineering (2023), Senior IT Delivery Manager, IAM (2019), Project Team Manager, Investment Systems (2016), Developer, Investment Systems (2013), Technology Specialist, Enterprise Business Solutions (2009), Information Systems Engineer, Technology Leadership Program (2007)
  • Rehana V. - Director of Onboarding (2021)

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