Machine Learning Engineer, Specialist
Core
Builds and maintains data pipelines and model integration in production environments to support machine learning model development.
Role type
Machine Learning Engineer (Data Infrastructure & Pipeline)
Builds
Data pipelines, model integration pipelines, and production ML infrastructure
Domain
Financial services / Machine Learning Infrastructure
Deliverable
production ML models
Required skills
Distributed computing, data pipeline design, data quality analysis, model monitoring, stakeholder engagement, business process analysis
Preferred skills
SDLC for model production, data discovery, automated ingestion
Technologies
PySpark, GlueETL
Responsibilities
Develop data pipelines in distributed computing environments, integrate model pipelines into production, review and modify data model designs, analyze raw data sources for quality and context, monitor model performance and address pipeline issues, translate business requirements into analytic approaches
Seniority
Mid-Senior, hands-on IC
