Machine Learning Engineer, MLOps Engineer - Remote

Overview

Experian is looking for an experienced MLOps Engineer to build and scale machine learning solutions that address critical challenges in the healthcare revenue cycle. You will be responsible for operationalizing ML models, ensuring deployment pipelines, and maintaining scalable, secure, and ML infrastructure on AWS.

In Short

• 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.
• Collaborate with data scientists to productionize ML models.
• Monitor model performance and data drift in production environments.
• Improve ML workflows using tools such as SageMaker, Airflow, Docker, Kubernetes (EKS), and Step Functions.
• Ensure compliance with healthcare data standards and security best practices.

Requirements

• 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.
• Proficiency with containerization and orchestration tools.
• Experience with ML lifecycle tools and CI/CD pipelines.
• Experience in the healthcare domain, especially with claims or EHR data.
• Exposure to NLP, Bayesian modeling, or real-time ML systems.
• Familiarity with Agile development methodologies.
• AWS certifications are a plus.

Benefits

• Great compensation package and bonus plan.
• Core benefits including medical, dental, vision, and matching 401K.
• Flexible work environment, ability to work remote.
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays.