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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 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 people´s lives worldwide.

Machine Learning Operations Architect (with medical device experience)

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