Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.
Be ready to walk through production ML incidents, pipeline design tradeoffs, rollout/rollback strategies, and how you measure model health in production. Expect system-design questions on serving, cost, and reliability for a senior ML Ops scope.
Strong fit if you have senior-level ML platform experience and prefer on-site work in El Segundo rather than remote. Thin public company and market data means you should validate culture, stack, and comp directly with Circadiahealth.
As a Senior ML Ops Engineer at Circadiahealth in El Segundo, expect to own production ML pipelines: packaging models, CI/CD for training and inference, monitoring drift and latency, and partnering with data science and platform teams to keep services reliable in a healthcare-oriented product setting.
Strengthen Kubernetes or similar orchestration, containerized model serving, feature/store and experiment tracking, observability (metrics, logs, alerts), and secure data handling. No certification list was provided for this posting.
The listing marks remote as off; work is tied to El Segundo, California.
Productionizing models, automation for deploy and retrain, and keeping inference systems observable and stable.
No verified salary bands or third-party review ratings were supplied for this enricher run.
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. We look forward to your application!
Generated for personal interview prep · 2026-08-14 UTC · getajob.ai