Machine Learning Engineer — Data Pipelines & MLOps
Core
Build reliable data pipelines, feature datasets, and Snowflake assets to power model development, and deploy, monitor, and maintain machine learning models in production.
Role type
Machine Learning Engineer (MLOps & Data Engineering)
Builds
Production-ready AI solutions, data pipelines, and ML infrastructure
Domain
Insurance technology, Data Engineering, MLOps
Deliverable
production ML models | infrastructure
Required skills
Data pipeline development, Feature engineering, Snowflake, MLOps, Model deployment, Model monitoring, Cloud technologies
Responsibilities
Build reliable data pipelines and feature datasets, Develop Snowflake assets for model development, Deploy machine learning models to production, Monitor and maintain production ML models, Establish engineering best practices for ML operations
Seniority
Experienced, hands-on IC