Machine Learning Engineer, Specialist
Core
Develops and maintains machine learning integrated software algorithms and data pipelines in a production environment to structure, analyze, and leverage data.
Role type
Machine Learning Engineer (Data Pipeline & Model Production)
Builds
Production ML data pipelines and model integration services
Domain
Financial Services / Cloud Data Engineering
Deliverable
production ML models
Required skills
Python (PySpark, PySQL), AWS services (Glue, SageMaker), ETL pipeline design, NoSQL databases, API design, software engineering principles, MDLC best practices
Preferred skills
Graduate degree, Azure cloud experience, Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, Model Evaluation
Technologies
PySpark, GlueETL, AWS, Azure, NoSQL, SageMaker
Responsibilities
Design and support development of data pipelines in distributed computing environments; Integrate model pipelines into production environments; Review pipeline designs and make data model design changes; Perform data discovery, automated ingestion, and data quality analysis; Engage with stakeholders to translate business requirements into analytic approaches; Run model monitoring scripts and address pipeline issues from alerts
Seniority
Mid-Senior (5+ years experience)
