Job-ID: 2749890Company: Inbrain Neuroelectronics, S.L.Department: Translational Science & Data IntelligenceCategory: Permanent EmployeeLocation: BarcelonaEmployment: Permanent employee, Full-timeSeniority: ExperiencedExperience: 2-5 yearsPosted: 2026-08-11Your MissionWe 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 world's thinnest and nobel-prize winning material, to build high resolution neural systems. 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. You will be at the forefront of bringing advanced healthcare solutions to market, making a tangible difference in peoples lives worldwide.
What You'll DoMain 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 per

📌 Machine Learning Operations Architect (España)
🏢 jobtraffic
📍 España