Senior ML Ops Engineer

Senior ML Ops Engineer at Circadiahealth in El Segundo

About the Role

Circadia Health is seeking a Senior ML Ops Engineer to join our mission-driven team. This role involves ensuring that machine learning models are operationalized and integrated into our healthcare solutions, supporting data pipelines, and maintaining high standards of accuracy and reliability.

What You'll Do

• Elevate the performance and stability of ML models in production environments
• Collaborate with data scientists to ensure seamless integration of predictive models into our healthcare workflows
• Maintain robust data pipelines for model training, validation, and deployment
• Ensure compliance with regulatory standards and best practices in ML operations
• Optimize and scale infrastructure to support growing computational demands

Skills & Qualifications

• Proven experience as an ML Ops Engineer or similar role
• Expertise in Python, R, or other programming languages used for data science and machine learning
• Familiarity with cloud platforms such as AWS, GCP, or Azure
• Experience with version control systems like Git
• Knowledge of CI/CD pipelines and DevOps practices
• A deep understanding of machine learning lifecycle management
• Strong problem-solving skills and ability to work in a fast-paced environment

Working at Circadiahealth

Circadia Health is a growth-stage healthcare AI company headquartered in El Segundo, CA. Our team combines cutting-edge technology with a commitment to improving senior care operations. We are backed by leading healthcare and AI investors and currently support 40,000+ post-acute patients daily across skilled-nursing, home-health, and home-care networks.

How to Apply

To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.