Senior Machine Learning Engineer, Specialist

Core Responsibilities

• Design, develop, and optimize complex data pipelines using machine learning engineering best practices to ensure scalability, efficiency, and reliability.
• Develop and implement robust MLOps pipeline to support the deployment, monitoring, and lifecycle management of AI/ML models in production environments.
• Integrate and maintain data and model pipelines, proactively diagnosing data quality issues and documenting assumptions.
• Collaborate closely with data scientists to validate model-ready datasets and ensure thorough, accurate feature documentation.
• Conduct exploratory data analysis and discovery on raw data sources, incorporating business context to support model development.
• Track data lineage and perform root cause analysis during early-stage exploration or issue resolution.
• Partner with internal stakeholders to understand business processes and translate them into scalable analytical solutions.
• Develop and maintain model monitoring scripts, investigate alerts, and coordinate timely resolutions.
• Act as a subject matter expert in machine learning engineering on cross-functional teams, contributing to high-impact initiatives.
• Stay current with advancements in AI/ML and evaluate their applicability to business challenges.

Qualifications:

• Bachelor's degree in a relevant field required; Master's degree preferred.
• 6+ years of relevant experience in data engineering or machine learning engineering.
• Minimum 3 years of hands-on experience building ETL pipelines using AWS services
• Proven experience developing and implementing MLOps pipeline for deploying, monitoring, and managing AI/ML models in production.
• Proficient in Python and familiar with key machine learning frameworks and libraries.
• Strong understanding of cloud technologies and AI/ML platforms like AWS SageMaker.
• Solid grasp of software engineering principles, including design patterns, testing, security, and version control.
• Knowledge of the Machine Learning Development Lifecycle (MDLC) and best practices.
• Experience designing and implementing end-to-end machine learning pipelines and solution architectures.

Special Factors

Sponsorship
Vanguard is 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.

Client-provided location(s): Malvern, PA, Gunnison, CO

Job ID: Vanguard-168698

Employment Type: FULL_TIME

Posted: 2025-07-10T12:54:38