Senior ML Engineer: Data Pipelines & AI Systems (Hybrid)

Vanguard Group, Inc.; Dallas (TX); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Vanguard is seeking a Machine Learning Engineer to design, build, and deploy data pipelines and AI models that scale across the business, using solid coding practices to enable reliable production. You will work with data science teams to prepare datasets, monitor models, diagnose data issues, and ensure production readiness within a hybrid work model.

The role emphasizes SDLC, data quality, stakeholder collaboration, and translating business needs into analytic solutions that drive actionable

Qualifications

• Minimum 8 years of experience in machine learning engineering or data science roles.
• Bachelor's or Master's degree in CS/DS related fields.
• Strong expertise in data pipeline development, statistical modeling, SDLC, AI/ML concepts, model monitoring, and stakeholder engagement across domains.

Responsibilities

• Develops complex data pipelines and scalable AI models to drive efficiency.
• Integrates data and model pipelines in production; diagnoses data issues.
• Collaborates with data science teams on datasets and feature docs.
• Performs data discovery and analyzes raw data for quality and context.
• Translates business requirements into analytic approaches.
• Writes model monitoring scripts and triages alerts.
• Contributes as ML engineering SME on large initiatives.
• Participates in special projects as assigned.
• Designs statistical analysis frameworks to uncover business trends.
• Applies advanced data mining to derive actionable insights.
• Explores evolving ML/big data methodologies to enhance decisions.

Skills

Machine Learning Engineering

Data pipeline development

SDLC processes

Stakeholder engagement

Education

Bachelor's degree in Computer Science, Data Engineering, AI/ML, or related fields

Master's degree or Diploma in Computer Science or Data Science

Job description

Vanguard is seeking a Machine Learning Engineer to design, build, and deploy data pipelines and AI models that scale across the business, using solid coding practices to enable reliable production. You will work with data science teams to prepare datasets, monitor models, diagnose data issues, and ensure production readiness within a hybrid work model.

The role emphasizes SDLC, data quality, stakeholder collaboration, and translating business needs into analytic solutions that drive actionable