MLOps Engineer - Healthcare - Remote

Overview

The MLOps Engineer will join Experian's team in building and scaling machine learning solutions that address critical challenges in the healthcare revenue cycle.

In Short

• Design and maintain scalable MLOps pipelines.
• Implement infrastructure as code and CI/CD workflows.
• Collaborate with data scientists to productionize ML models.
• Monitor model performance and data drift.
• Optimize ML workflows using tools like SageMaker and Docker.
• Ensure compliance with healthcare data standards.
• Contribute to the continuous improvement of MLOps practices.
• Work in a collaborative, cross-functional team.
• Utilize Agile development methodologies.
• Advocate for automation and scalability across the ML lifecycle.

Requirements

• 3+ years of experience in MLOps or related roles.
• Experience with AWS services for ML.
• Proficiency with ML lifecycle tools.
• Experience with containerization and orchestration tools.
• Knowledge of CI/CD pipelines and infrastructure as code.
• Experience in the healthcare domain.
• Exposure to NLP or real-time ML systems.
• AWS certifications are a plus.
• Bachelor's degree in a relevant field.

Benefits

• Great compensation package and bonus plan.
• Core benefits including medical, dental, and vision.
• Flexible work environment.
• Flexible time off including volunteer time off.
• Recognition for work/life balance and development.