About the role

Position Overview

As an ML Ops Engineer at Circadia Health, you will own the infrastructure and operational lifecycle of the machine learning systems that power our clinical monitoring platform. You will build and maintain the production ML pipelines, deployment infrastructure, and monitoring systems that enable Circadia's predictive models to identify early signs of clinical deterioration.

Reporting to the Principal ML Engineer, you will work across ML, backend, data, and clinical teams to ensure models are reliably trained, versioned, deployed, and monitored in both cloud and edge environments. You will be a key driver in elevating Circadia's ML practice – from reproducibility and experiment tracking to CI/CD for models and operational observability.

This is a high-ownership role at a lean company where production reliability, rapid iteration, and pragmatic engineering are essential. Your work will directly impact patient outcomes by ensuring our predictive models are always running, always accurate, and always improving.

Skills & Tags

machine learning ai backend data product

Aplyr's read

Circadia Health leverages data and AI to enhance patient care, attracting tech-savvy professionals passionate about healthcare innovation.
Synthesized from recent postings & public sources

What's promising

•Strong focus on AI-driven healthcare solutions to improve patient outcomes.
•Recent hiring of diverse roles suggests growth and expansion.
•Opportunity to work at the intersection of technology and healthcare.

What to watch

•Highly competitive industry with rapid technological advancements.
•Dependence on data accuracy and AI efficacy for success.
•Limited public information about financial stability and long-term viability.

Why Circadia Health

•Specializes in integrating AI with healthcare to address specific patient needs.
•Employs a multidisciplinary team, including engineers and healthcare professionals.
•Focus on both technological innovation and practical healthcare application.

Aplyr’s read is generated by AI from public sources. Was it useful?