Senior ML Ops Engineer
CircadiaRemote Patient company
El Segundo, United StatesSenior
Headline
EIS Capital
GCI Capital (Toronto)
NOVIT Ventures
Redmile Group
Data & AI
About the role
TL;DR
Own ML pipelines, production deployment, and monitoring for critical healthcare AI models.
- •Circadia Health is seeking a Senior ML Ops Engineer to own the pipelines, path to production, and monitoring of their machine learning models.
- •This role is critical as model degradation can lead to patient deterioration without alerts.
- •Key Responsibilities Orchestrate training, evaluation, and deployment workflows using Airflow.
- •Deploy and manage ML models on AWS using Batch, with versioning and rollback via MLflow.
- •Implement monitoring and alerting for model drift and prediction quality.
- •Optimize ML compute and costs on AWS.
- •Requirements 4+ years in MLOps, ML engineering, DevOps, or similar infrastructure role.
- •Strong Python skills for pipeline development and automation.
- •Hands-on experience with Airflow and a model registry like MLflow.
- •Experience deploying and operating ML workloads on AWS.
Required skills
PythonAirflowMLflowAWSDockerSQLSnowflakeHIPAASOC 2
Nice-to-have skills
Computer VisionNLPLLMs
Domain expertise
healthcareai
Tech stack
PythonAirflowMLflowAWSEC2S3IAMDockerSQLSnowflakeHIPAASOC 2