Machine Learning Engineer Specialist
Core
Design, build, and optimize scalable AI/ML data pipelines and integrate machine learning models into production environments for financial services.
Role type
Senior Machine Learning Engineer (Data Pipelines & MLOps)
Builds
End-to-end machine learning data pipelines, model integration, and scalable AI/ML solutions
Domain
Financial Services / Cloud AI/ML
Deliverable
production ML models
Required skills
Python, PySpark, PySQL, AWS (Glue, SageMaker), Azure, NoSQL databases, ETL pipeline design, software engineering principles, ML lifecycle protocols, solution architecture
Preferred skills
Feature Store, LLMs, GenAI, RAG, prompt engineering, model evaluation, API design
Technologies
AWS, Azure, PySpark, Glue, SageMaker, NoSQL, Python
Responsibilities
Develop and optimize data pipeline designs for model development; support integration of model pipelines into production; review pipeline designs and document changes; support data discovery and automated ingestion; partner with stakeholders to translate business needs into analytical approaches; run model monitoring scripts and address pipeline issues.
Seniority
Senior, hands-on IC (via careerplan.io/jobs/ge7c9c24-machine-learning-engineer-specialist-at-vanguard)