MLOps Engineer - Healthcare (Remote)
United States, UNITED STATES, United States
R
USD 120K-140K (estimate) Mid-level Full Time
Tasks
- Automate retraining and alerting
- Build and maintain MLOps pipelines for training validation deployment monitoring
- Continuously improve MLOps practices and advocate for automation
- Ensure compliance with healthcare data standards and security best practices
- Implement infrastructure as code and CI/CD workflows
- Monitor model performance and data drift
- Optimize ML workflows using SageMaker Airflow Docker Kubernetes Step Functions
- Productionize machine learning models with reproducibility versioning traceability
Perks/Benefits
- 401k matching
- Dental insurance
- Flexible time off
- Medical insurance
- Remote work
- Vision insurance
- Volunteer time off
Skills/Tech-stack
AWS | Agile | Airflow | Alerting | Amazon CloudWatch | Amazon ECR | Amazon EKS | Amazon S3 | Automated retraining | Best practices | CI/CD | CloudFormation | Data Drift | Data Drift Detection | Data Standards | Docker | Docker Swarm | Drift Detection | ECR | HIPAA | Healthcare Data | Healthcare data standards | Infrastructure as Code | Kubeflow | Kubernetes | Lambda | Logging | MLflow | Model Deployment | Model Monitoring | Model Training | Monitoring | SageMaker | Security best practices | Step Functions | TensorFlow Serving | Terraform | “as-code”
Education
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