ML Ops Engineer

Manages the infrastructure and lifecycle of machine learning systems.

• •As an ML Ops Engineer at Circadia Health, you will manage the infrastructure and lifecycle of machine learning systems powering the clinical monitoring platform.
• •Key Responsibilities Own and extend Circadia’s ML pipeline orchestration using Apache Airflow.
• •Build and maintain automated pipelines for model retraining, validation, and promotion.
• •Deploy and manage ML models on AWS infrastructure.
• •Implement pipeline monitoring, alerting, and failure recovery.
• •Manage model versioning, promotion, and rollback workflows.
• •Requirements 4+ years of experience in MLOps, ML Engineering, DevOps, or a closely related infrastructure role.
• •Strong proficiency in Python for ML pipeline development.
• •Hands-on experience with ML pipeline orchestration tools, particularly Apache Airflow.
• •Experience deploying and operating ML workloads on AWS.