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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