Machine Learning Operations Architect (AI)

Location: Barcelona, Spain; hybrid working modality

Company

hirify.global develops graphene-based high-resolution neural systems for real-time precision neurology and brain-related disorder treatment.

What you will do

• Architect and own model lifecycle governance and deployment infrastructure.
• Design model versioning, lineage, and validation-evidence systems linking models to training data, risk management, and clinical evidence.
• Develop a PCCP-style change-control framework for permitted modifications, bounds, and automated re-validation of adaptive models.
• Configure CI/CD pipelines for training, validation, and promotion across Development, Testing, Acceptance, and Production tiers.
• Build model drift and performance monitoring with scheduled and drift-triggered retraining processes.
• Version and trace services and processes in alignment with medical-device design-control requirements.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Electrical Engineering, or a related field.
• 4–5 years of hands-on MLOps engineering experience, including model registries, CI/CD for ML, Kubernetes, and workflow orchestration such as Argo.
• Strong industry architecture experience; academic or traineeship-only experience is not sufficient.
• Experience shipping ML in regulated or safety-critical environments, preferably medtech, and automating design-control processes such as IEC 62304, ISO 13485, DO-178C, or ISO 26262.
• Strong infrastructure-as-code skills and practical experience productionizing Python research code.
• Fluent English is required, as English is the company language.

Nice to have

• Experience with FDA Predetermined Change Control Plan guidance or adaptive-SaMD regulatory frameworks.
• Background in adaptive neurostimulation, closed-loop deep brain stimulation, or closed-loop diabetes management.
• Familiarity with FHIR, SNOMED CT, NWB/BIDS, ISO 14155, MDR, or ICH E9 evidence frameworks.

Culture & Benefits

• Collaborative environment focused on open communication, knowledge sharing, inclusion, and mutual respect.
• Opportunity to work on projects with a positive impact on healthcare and society.
• Exposure to cutting-edge technologies and support for continuous professional learning.
• Internal flexible compensation scheme and private health insurance.
• Training bonus, Udemy access, 23 vacation days per year, and Christmas week off.