Senior MLOps Architect for Regulated MedTech

Inbrain Neuroelectronics; Barcelona; Hybrid; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Private Health Insurance

23 vacation days per year

Hybrid working modality

Training bonus and Udemy access

Job summary

INBRAIN NEUROELECTRONICS is seeking a Principal MLOps Architect to design and own the end-to-end model lifecycle architecture across cloud, mobile and embedded runtimes. You will define validation gates, traceability, and evidence required to ensure reproducible and compliant model releases within a cross-functional team including Clinical, Regulatory, Product and Software.

This foundational role partners with Data Scientists, ML Engineers and Data Engineers to establish reproducible development

Qualifications

• Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Electrical Engineering or a related field.
• At least 7 years of hands-on MLOps engineering experience (preferably in medtech) designing production MLOps architectures.
• Strong experience with infrastructure-as-code, automation and production Python workflows.
• Direct experience with continuous/adaptive learning systems under a PCCP-like framework.
• Proven experience shipping ML into a regulated or safety-critical environment (medtech, automotive, aerospace).

Responsibilities

• Design and own the model lifecycle traceability framework, linking every model version to its source code, data and evidence.
• Lead the technical implementation of a controlled model-change framework aligned with PCCP requirements.
• Own and configure the CI/CD pipeline for training, validating and promoting models across DTAP tiers.
• Define and implement the model monitoring and post-deployment surveillance architecture.
• Establish traceability between model development, software and regulatory artifacts and ensure audit-ready documentation.

Skills

MLOps experience

Infra-as-code

Python workflows

Adaptive learning

Regulated ML deployment

Education

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

Job description

INBRAIN NEUROELECTRONICS is seeking a Principal MLOps Architect to design and own the end-to-end model lifecycle architecture across cloud, mobile and embedded runtimes. You will define validation gates, traceability, and evidence required to ensure reproducible and compliant model releases within a cross-functional team including Clinical, Regulatory, Product and Software.

This foundational role partners with Data Scientists, ML Engineers and Data Engineers to establish reproducible development