Machine Learning Engineer, Specialist

Posted 7 Days Ago
Be an Early Applicant
2 Locations
Expert/Leader
Fintech
The Role
The Machine Learning Engineer will develop data pipelines, optimize existing models, and diagnose data issues. They will collaborate with data science teams to ensure data quality and provide analytical solutions for business processes, while also serving as a subject matter expert in machine learning engineering on strategic initiatives.
Summary Generated by Built In

Responsibilities

  • Develops complex data pipelines and implements data engineering design principles for iterative data pipeline development to drive scale and efficiency. Proficient in model development environments and coding best practices to enable model deployment. 

  • Integrates and optimizes existing data and model pipelines in a production environment. Identifies and diagnoses data inconsistencies and errors, documents assumptions, and forages to fill data gaps. Applies knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning concepts to create self-running artificial intelligence (AI) systems to automate predictive models. Proficient in SDLC processes and related tools and technologies. 

  • Partners with data science teams to review model ready dataset document/feature documentation. Develops data model design and document and reviews for completeness with data science teams. 

  • Partners with data science teams to understand data requirements, performs data discovery for model development. Performs detailed analysis of raw data sources for data quality, applies business context, and model development needs. Drives efficiency through the use of data discovery tools. 

  • Engages with internal stakeholders to understand and probe business processes and develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Participates in and influences ongoing business planning and departmental prioritization activities.

  • Writes model monitoring scripts as needed. Diagnoses root causes based on model monitoring alerts and triages issues. Coordinates and plans response to model monitoring alerts and resolves issues.

  • Serves as a machine learning engineering subject matter expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.

  • Participates in special projects and performs other duties as assigned.

Qualifications

  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.

  • Minimum of eight years related work experience.

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.

Our commitment to diversity, equity, and inclusion

Vanguard’s commitment to diversity, equity, and inclusion (DEI) is central to our ability to deliver on our mission. We aspire to create a work environment that is inclusive, equitable, and diverse—one that enables our employees, whom we call crew, to thrive and bring their best selves to work every day on behalf of our clients.

Cultivating DEI lifts our entire organization, and everyone shares accountability for our progress—from our senior leaders who lay the foundation and set the example for inclusive behaviors to crew who are growing in their personal DEI learning experiences.

Together, we’re on a mission. We are fueled by the value of diverse voices and connected through friendships and a culture of care—for our clients, our communities, and each other.    

Vanguard’s DEI journey has no finish line. Our commitment is enduring, and we remain focused on the path ahead. To learn more about Vanguard goals and progress toward DEI, download our Diversity, Equity, and Inclusion Report.

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.

Top Skills

Data Engineering
Model Development
Sdlc
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The Company
Charlotte, NC
20,252 Employees
On-site Workplace
Year Founded: 1975

What We Do

We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests.

Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind.

Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets.

For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin
Vanguard Marketing Corporation, Distributor.

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