Senior MLOps Architect - Regulated MedTech

GainRep; Barcelona; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Private Health Insurance

Hybrid working modality

Training budget (Udemy)

Job summary

INBRAIN is seeking a Principal MLOps Architect to design end-to-end model lifecycle governance for adaptive neurostimulation projects. You will partner with Clinical, Regulatory, Product and Software teams to ensure safe, auditable model updates across cloud, mobile and embedded runtimes.

The role requires 7+ years in MLOps with production pipelines, and experience delivering in regulated environments. A PCCP-like change-control framework will guide all releases and validation activities.

Qualifications

• 7+ years of hands-on MLOps engineering in medtech or regulated settings.
• Experience implementing production ML pipelines with versioning, validation and governance.
• Familiarity with change-control frameworks (PCCP-like) and design-control practices.
• Proven ability to translate clinical/regulatory requirements into model lifecycle controls.

Responsibilities

• Lead the technical implementation of a controlled model-change framework with PCCP-like governance.
• Own and configure the CI/CD pipeline for training, validation and promotion of models across DTAP tiers.
• Define and implement model monitoring, drift detection and retraining strategies across cloud, mobile and embedded runtimes.
• Establish traceability between model development, software artifacts, risk records and approvals.
• Define packaging and deployment standards for cloud, mobile and embedded environments, with handover contracts.

Skills

MLOps architecture

CI/CD for ML

Python automation

Regulated environment experience

Tools

MLflow

Argo

Kubeflow

Job description

INBRAIN is seeking a Principal MLOps Architect to design end-to-end model lifecycle governance for adaptive neurostimulation projects. You will partner with Clinical, Regulatory, Product and Software teams to ensure safe, auditable model updates across cloud, mobile and embedded runtimes.

The role requires 7+ years in MLOps with production pipelines, and experience delivering in regulated environments. A PCCP-like change-control framework will guide all releases and validation activities.