Machine Learning Engineer
Core
Own the infrastructure and operational lifecycle of machine learning systems powering a clinical monitoring platform to prevent avoidable hospitalizations.
Role type
ML Ops Engineer
Builds
Production ML pipelines, deployment infrastructure, and monitoring systems for predictive clinical models
Domain
Healthcare AI / Clinical Monitoring
Deliverable
production ML models
Required skills
ML pipeline orchestration, AWS infrastructure, model deployment, experiment tracking, CI/CD for models, edge device deployment
Preferred skills
Apache Airflow, MLflow, AWS Batch, firmware/embedded engineering collaboration
Technologies
Apache Airflow, AWS, MLflow, AWS Batch
Responsibilities
Own and extend ML pipeline orchestration for training, evaluation, and deployment; Build and maintain automated pipelines for model retraining and validation; Implement pipeline monitoring, alerting, and failure recovery; Deploy and manage ML models on AWS infrastructure and edge devices; Manage model versioning, promotion, and rollback workflows; Evaluate and implement strategies for safe model rollouts
Seniority
Mid-level, hands-on IC
