Machine Learning Engineer, Specialist
AI summary of the role
This Machine Learning Engineer role at Vanguard focuses on building and maintaining production ML data pipelines, integrating models into the SDLC, and collaborating with data science teams.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Develop and program machine learning integrated software algorithms to structure, analyze, and leverage data in production.
- Design and support data pipelines for model development using PySpark and GlueETL.
- Integrate model pipelines into production environment and understand SDLC for model production.
- Perform data discovery, automated ingestion, and detailed analysis of raw data sources for data quality and model needs.
What you’ll bring
- Minimum of 5 years of relevant work experience.
- At least 3 years of hands-on experience designing ETL pipelines using AWS services (Glue, SageMaker).
- Proficiency in Python (including PySpark, PySQL) and familiarity with machine learning libraries.
- Strong understanding of cloud technologies (AWS, Azure) and NoSQL databases.
Technologies
PySpark · GlueETL · AWS Glue · SageMaker · Python · PySQL · NoSQL · Feature Store · LLMs · GenAI · RAG · Prompt Engineering
About Vanguard
Investor-owned asset manager offering low-cost funds, ETFs, advice, and retirement services to individual, advisor, workplace, and institutional clients.
Bootstrapped · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the job description
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. Qual [... source excerpt omitted ...] t 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 collaborat
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