Principal MLOps Architect

📋 Job Overview

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.

🏢 About INBRAIN

INBRAIN is a cutting-edge neuroelectronics company focused on developing innovative solutions for brain-related disorders using graphene technology and advanced neural systems.

🎯 The Role

The Principal MLOps Architect will design and own the end-to-end model lifecycle architecture and governance framework that enables INBRAIN's data scientists and ML engineers to take adaptive neurostimulation and Brain-Computer Interface models from research into regulated clinical products. The role defines how models are developed, versioned, validated, packaged, released, monitored and updated across cloud, smartphone and embedded runtimes.

✅ Key Responsibilities

• Design and own the model lifecycle traceability framework, linking every model version to its source code, training datasets, data provenance, preprocessing and feature definitions, training configuration, evaluation results, risk assessments and applicable clinical evidence.
• Lead the technical implementation of a controlled model-change framework, aligned with applicable PCCP requirements and design-control processes.
• Own 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.
• Define and implement the model monitoring and post-deployment surveillance architecture, covering model performance, data and concept drift, input quality, operational behavior and relevant safety indicators.
• Establish and maintain traceability between model development activities, software and model artifacts, verification and validation results, risk management records, approvals and releases.
• Define the model packaging and deployment standards for cloud, smartphone and embedded runtimes, including model format compatibility, resource constraints, quantization or optimization requirements, runtime dependencies, version compatibility, deployment verification and rollback mechanisms.

📌 Required 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 industry), designing and implementing production MLOps architectures.
• Strong experience with infrastructure-as-code, automation and production Python workflows.
• Direct experience with continuous/adaptive learning systems under a change-control or PCCP-like framework.
• Proven experience shipping ML into a regulated or safety-critical environment (medtech, automotive, aerospace).

⭐ Desirable Experience

• Experience with FDA's Predetermined Change Control Plan (PCCP) guidance or equivalent adaptive-SaMD regulatory frameworks.
• Background in adaptive neurostimulation, closed-loop deep brain stimulation or closed-loop diabetes management with insulin pumps.
• Experience optimizing and deploying ML models across heterogeneous environments, including cloud infrastructure, mobile devices and embedded or resource-constrained hardware.
• Familiarity with clinical data standards (FHIR, SNOMED CT, NWB/BIDS) and ISO 14155/MDR/ICH E9 evidence frameworks.

🎁 Benefits

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.

🛂 Visa & Eligibility

At INBRAIN, we welcome applications from all qualified candidates regardless of race, ethnicity, nationality, gender identity or expression, sexual orientation, age, disability, religion, or any other protected characteristic. We encourage individuals from underrepresented backgrounds to apply, even if they do not meet every qualification listed, as we recognize that talent and potential come in many forms.