Your mission

We are scientists, doctors, techies and humanity lovers, with the mission of pioneering real time precision neurology to cure brain-related disorders. INBRAIN harnesses the extraordinary material properties of Graphene, the worldâs thinnest and nobel-prize winning material, to build high resolution neural systems. Â Our mission is to decode and modulate neural networks to restore people's lives.
As a Machine Learning Operations Architect , you will architect and own the model lifecycle governance and deployment infrastructure. The role bridges MLOps engineering with medical-device design-control practice : it defines how models are versioned, validated, and promoted, and builds the change-control framework (aligned with a PCCP-style approach) that governs how adaptive, continuously-learning models can be safely updated post-deployment.Â
You will be at the forefront of bringing advanced healthcare solutions to market, making a tangible difference in people´s lives worldwide. Your profile

Main Responsibilities:
- Design and build the model versioning, lineage,



and validation-evidence system that ties every trained model to its training data, the data source origin, risk management , and clinical evidence.
- Draft and maintain a Predetermined Change Control Plan (PCCP)-style framework defining permitted modification types, bounds, and automated re-validation protocols for adaptive models, in collaboration with clinical, regulatory , product and software stakeholders.
- Design and configure the CI/CD pipeline for training, validating , and promoting models , running on infrastructure provided by the Software team , with promotion gates across Development, Testing, Acceptance and Production (DTAP) tiers .
- Build drift and performance monitoring for models and define triggers for scheduled vs. drift-triggered retraining as part of post-market surveillance activity.
- Deployed and maintained processes and services versioning and tracing

📌 Machine Learning Operations Architect (España)
🏢 Inbrain Neuroelectronics
📍 España