MLOps Engineer

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