Machine Learning Operations Architect (With Medical Device Experience)

Inbrain Neuroelectronics; Madrid; Híbrido; EUR 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Flexible compensation scheme

Private Health Insurance

Udemy training access

23 vacation days

Christmas week off

Hybrid working modality

Descripción de la vacante

Inbrain Neuroelectronics is seeking a Machine Learning Operations Architect in Madrid. You will design and own the model lifecycle governance, versioning, and deployment infrastructure, connecting ML workflows with regulatory design controls and clinical evidence.

The role requires 4–5 years in ML Ops, expertise in MLFlow/Kubernetes/Argo, and a track record in regulated environments. This hybrid position combines engineering leadership with regulatory collaboration to deliver safe, scalable ML

Formación

• 4–5+ years hands-on ML Ops engineering experience (medtech preferred).
• Model versioning/registries (MLFlow or equivalent).
• CI/CD for ML; containerized deployment (Kubernetes).
• Workflow orchestration (e.g. Argo).
• Experience shipping ML into regulated/safety-critical environments (IEC 62304, ISO 13485, DO-178C, ISO 26262).
• Strong infra-as-code and Python productionization support.
• Fluency in English (company language).
• Experience with adaptive learning systems under PCCP-like frameworks.
• Ability to work across engineering and regulatory/clinical teams.
• Excellent written documentation for auditable change-control and validation records.

Responsabilidades

• Design model versioning, lineage, and validation-evidence system.
• Draft a PCCP-style framework with permitted modifications and re-validation protocols.
• Configure CI/CD for training, validation, and promotion across DTAP tiers.
• Build drift and performance monitoring with retraining triggers for post-market surveillance.
• Maintain versioning and traceability aligned with design-control processes.

Conocimientos

ML Ops

CI/CD for ML

Model versioning

Kubernetes

Educación

Bachelor's or Master's in CS/Math/Physics/EE

Herramientas

MLFlow

Argo

Kubernetes

Descripción del empleo

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 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.

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 them against design-control processes.

Mandatory Qualifications and Soft skills

• Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Electrical Engineering or a related field.
• At least 4-5 years of Hands‑on ML Ops engineering experience (preferably in medtech industry): model versioning/registries (MLFlowor equivalent), CI/CD for ML, containerized deployment (Kubernetes), and workflow orchestration (e.g.Argo or equivalent).
• Strong Architecture experience within industry setting (only academia or traineeship will not be considered).
• Proven experience shipping ML into a regulated or safety‑critical environment (medtech - priority, automotive, aerospace), has designed systems to automatize design-control processes (e.g.IEC 62304, ISO 13485, DO-178C, ISO 26262) and has used them from the inside.
• Strong infrastructure‑as‑code skills and comfort directly supporting data scientists to productionize research code written in Python.
• Fluency in English required (English is company language).
• Direct experience with continuous/adaptive learning systems under a change‑control or PCCP‑like framework, delivering personalized evolving models in contrast to single model validation for universal use releases.
• Comfortable operating at the intersection of engineering and regulatory/clinical teams, translating design‑control requirements into concrete technical implementation.
• Pragmatic about scope and sequencing — able to prioritize the governance/compliance work.
• Strong written documentation skills, given the role's heavy emphasis on producing auditable change‑control and validation records.

Nice to have

• Experience with FDA's Predetermined Change Control Plan (PCCP) guidance or equivalent adaptive‑SaMD regulatory frameworks (e.g.through an imaging/diagnostic AI company that has filed one).
• Background in adaptive neurostimulation, closed-loop deep brain stimulation or closed-loop diabetes management with insulin pumps.
• Familiarity with clinical data standards (FHIR, SNOMED CT, NWB/BIDS) and ISO 14155/MDR/ICH E9 evidence frameworks.

Why us?

We are looking for someone who Is ready to proactively bring new ideas to the team, push boundaries, and constantly look for innovation. At INBRAIN we believe in shared success and diverse ways of thinking, here you'll learn, grow, and advance in an innovative culture

WHAT CAN WE OFFER TO YOU?

A collaborative environment where innovative ideas flourish and teamwork drives us forward. At INBRAIN, we believe the power of collective intelligence is unique. You will be part of a team that thrives on open communication, knowledge sharing and mutual respect.

Meaningful Work Impact: Our projects are not only exciting and challenging but also have a positive impact on the industry and society as a whole. You'll be part of a team that strives to create meaningful change.

Cutting-Edge Technology Exposure: Joining us means immersing yourself in the latest technologies and innovative solutions. You'll have access to state‑of‑the‑art tools and resources, fostering continuous learning and keeping your skills relevant in a rapidly evolving industry.

• Competitive salary (according to your experience/skills)
• Internal flexible compensation scheme
• Private Health Insurance
• Training bonus for professional development and access to Udemy platform
• 23 vacation days per year
• Christmas week off
• Hybrid working modality

#diverseandinclusive

We believe that a diverse and well-balanced workforce drives innovation. At INBRAIN, we foster the inclusion of all people regardless of culture, age, gender, sexual orientation, identity and diverse abilities or any other status.

About us

At Inbrain Neuroelectronics, we built our company around a simple belief: great science needs great people. Our mission is to transform the treatment of neurological disorders through neuroelectronic therapies that are safer, smarter, and more human‑centered. We work at the intersection of neuroscience, engineering, and advanced materials, but what truly drives us is the impact our work can have on patients’ lives. Our culture is grounded in Integrity First—we hold ourselves to the highest ethical standards because the people we serve deserve nothing less. We are Human Powered, valuing empathy, collaboration, and the diverse perspectives that make our ideas stronger. We encourage everyone to think like Game Changers, challenging assumptions and pushing boundaries to unlock breakthroughs that once felt out of reach. We act with Conscious Impact, aware that every decision—from research to clinical translation—shapes real futures. And we embrace a Growth Mindset ,creating an environment where learning is continuous, curiosity is celebrated, and people are supported to stretch beyond their comfort zones. At Inbrain, you’ll join a team united by purpose and energized by possibility. If you’re looking for a place where your talent can contribute to meaningful change—and where you can grow while helping others thrive—you’ll feel at home here.