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
Mlops Engineer • Fresno, California, United States