Senior Machine Learning Operations Engineer

Join Garner's Platform Engineering team as a Senior Machine Learning Operations Engineer. In this role, you will help build and operate production machine learning systems that directly impact health outcomes and cost-effectiveness for millions of patients. You will work closely with machine learning and data science teams to ensure the reliability, performance, functionality, and cost-efficiency of Garner's production ML systems. Additionally, you will contribute to the development of key components of Garner's ML platform and help establish drift monitoring systems.

• Contribuer à la fiabilité, la performance, la fonctionnalité et l'efficacité des systèmes ML de production de Garner.
• Construire des composants clés de la plateforme ML de Garner, y compris l'infrastructure de données et les pipelines CI/CD.
• Aider à établir la surveillance des dérives : concevoir et mettre en œuvre des systèmes de surveillance automatisés.
• Healthcare, regulated-data, or other high-stakes production ML experience is a plus but not required
• Hands-on experience with the modern ML production stack: model serving (e.g., Sagemaker, Triton, or equivalent), feature stores, model registries, and CI/CD for ML
• Experience building ML platforms or significant components of one (not strictly consuming SaaS), with sound judgment around when to build vs. buy
• Strong infrastructure and platform engineering fundamentals: Kubernetes, containerization, cloud (AWS preferred), Terraform/IaC, observability, and incident response
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
• 5+ years of software engineering experience, with meaningful time spent operating ML or data-intensive systems in production
• Strong collaboration with ML, data, platform engineers, data scientists, and product engineering teams, with the ability to lead projects and influence technical decisions