Senior AI/ML Engineer at Vanguard

Malvern, Pennsylvania, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial ServicesIndustries

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred)
8+ years of experience across machine learning engineering, data engineering, and MLOps implementation, including designing and deploying production-grade ML systems, building scalable data pipelines and ML workflows, and managing model lifecycle in cloud environments
Proficient in Python and familiar with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn
Strong understanding of cloud platforms, especially AWS SageMaker
Experience with CI/CD, containerization (e.g., Docker), and orchestration tools (e.g., Kubernetes)
Solid grasp of software engineering principles including testing, version control (e.g., Git), and security
Familiarity with the Machine Learning Development Lifecycle (MDLC) and best practices for reproducibility and scalability
Strong communication and collaboration skills, with experience working across technical and business teams
Ability to anticipate ambiguity and devise scalable solutions to address it

Responsibilities

Architect and implement scalable, efficient, and reliable data and ML pipelines using best practices in machine learning engineering
Build and maintain MLOps frameworks to support model deployment, monitoring, and lifecycle management in production environments
Ensure data integrity, proactively identifying and resolving quality issues across data and model pipelines
Collaborate with data scientists, solution architects, product managers, and Agile leads to align on technical direction and keep stakeholders informed
Conduct exploratory data analysis and integrate business context to inform modeling strategies
Track data lineage and perform root cause analysis during early-stage exploration or issue resolution
Translate business requirements into scalable AI/ML solutions in partnership with internal stakeholders
Implement and maintain model monitoring, including data and model drift detection, alerting, and resolution workflows
Design and execute A/B testing, backtesting, and other validation strategies to assess model performance and business impact
Anticipate ambiguity in data, requirements, or business context and devise creative, scalable solutions to address them
Serve as a technical expert in machine learning engineering on cross-functional teams
Stay current with advancements in AI/ML and assess their relevance to business challenges

Skills

Python

TensorFlow

PyTorch

Scikit-learn

AWS SageMaker

Docker

CI/CD

MLOps

Vanguard

Client-owned investment management firm offering low-cost funds

About Vanguard

Vanguard provides financial services with a focus on investment management. The company offers a variety of products, including mutual funds, exchange-traded funds (ETFs), individual retirement accounts (IRAs), and 401k rollovers, aimed at individual investors, financial advisors, and institutions. Vanguard's unique ownership structure means it is owned by its funds, which are in turn owned by the clients, allowing it to prioritize the needs of its investors over external shareholders. This model enables Vanguard to offer low-cost investment options, as it primarily earns revenue through management fees that are generally lower than industry standards. Additionally, Vanguard provides personalized investment advisory services, charging fees based on the assets managed. The company's goal is to help clients grow their wealth and achieve their financial objectives through effective investment strategies, while maintaining a competitive performance track record.

Kline Township, PennsylvaniaHeadquarters

1975Year Founded

SECONDARYCompany Stage

Fintech, Financial ServicesIndustries

10,001+Employees

Benefits

Best-in-class medical, dental & vision coverage

Onsite health clinic & fitness center

Health Smart Rewards program

Vanguard Retirement Savings Plan

Education Benefits

PTO

Family Planning Benefist

Parental leave

Personal development opportunities

Volunteer Time Off

Risks

Competition from AI-driven platforms like Writer challenges Vanguard's traditional advisory services.

Vanguard's stake in Steelcase exposes it to the volatile furniture market.

New active bond ETFs may struggle in a low-yield environment with increasing competition.

Differentiation

Vanguard is client-owned, aligning its interests with investors, unlike traditional firms.

The firm offers low-cost investment products, making it attractive to cost-conscious investors.

Vanguard's ownership structure allows it to focus on long-term investor value.

Upsides

Vanguard's new active bond ETFs offer diversified, low-cost fixed income options.

The acquisition of Steelcase shares diversifies Vanguard's portfolio into the furniture industry.

Launching the International Dividend Growth Fund appeals to investors seeking sustainable dividend growth.

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