Machine Learning Operations Architect (with medical device experience)
Core
Architect and own the model lifecycle governance and deployment infrastructure for real-time precision neurology systems, bridging MLOps engineering with medical-device design-control practices.
Role type
Senior IC Machine Learning Operations Architect (Medical Device)
Builds
Model versioning, lineage, validation-evidence systems, CI/CD pipelines, and drift/performance monitoring services for adaptive neural models.
Domain
Medical technology / Neurology / Regulated AI
Deliverable
production ML models
Required skills
MLOps engineering, model versioning/registries, CI/CD for ML, containerized deployment, workflow orchestration, infrastructure-as-code, Python, design-control processes, regulatory compliance frameworks
Preferred skills
FDA PCCP guidance, adaptive neurostimulation, closed-loop deep brain stimulation, clinical data standards (FHIR, SNOMED CT)
Technologies
MLFlow, Kubernetes, Argo, Python
Responsibilities
Design and build model versioning, lineage, and validation-evidence systems; Draft and maintain PCCP-style frameworks for adaptive model modifications; Design and configure CI/CD pipelines for model promotion; Build drift and performance monitoring with retraining triggers; Deploy and maintain processes versioned against design-control requirements.
Seniority
Senior, hands-on IC
