MLOps Engineer
Location: Remote
Compensation: Salary
Reviewed: Mon, Jan 05, 2026
This job expires in: 26 days
Job Summary
A company is looking for an MLOps Engineer, Machine Learning Engineer (Remote).
Key Responsibilities
- Develop scalable MLOps pipelines for model training, validation, deployment, and monitoring using AWS services
- Implement infrastructure as code and CI/CD workflows to support rapid experimentation and reliable production releases
- Monitor model performance and data drift in production environments, and implement automated retraining and alerting mechanisms
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
- 3+ years' experience in MLOps, DevOps, or ML engineering roles
- 3+ years' experience with AWS services for ML (e.g., SageMaker, Lambda, Step Functions)
- Proficiency with containerization and orchestration tools (Docker, Kubernetes/EKS)
- Experience in the healthcare domain, especially with claims or EHR data
COMPLETE JOB DESCRIPTION
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