MLOps Engineer

Job Summary

A company is looking for an MLOps Engineer (Machine Learning) to build and scale machine learning solutions in the healthcare revenue cycle.

Key Responsibilities

• Develop scalable MLOps pipelines for model training, validation, deployment, and monitoring using AWS services
• Implement infrastructure as code and CI/CD workflows for rapid experimentation and reliable production releases
• Collaborate with data scientists to productionize ML models and ensure reproducibility, versioning, and traceability

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