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Principal MLOps Architect
Job Location:
Monthly Salary:
Posted:
13 August 2026 (30+ days ago)
Posted:
Application Deadline:
29 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Your Mission
We are scientistsdoctors 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 worlds thinnest and nobel-prize winning material to build high resolution neural systems.Our mission is to decode and modulate neural networks to restore peoples lives.
The Principal MLOps Architect willdesign and own the end-to-end model lifecycle architectureand governance framework that enables INBRAINs data scientists and ML engineers to takeadaptive 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 updatedacross cloud smartphone and embedded runtimes. It establishes the MLOps pipelines validation gates traceability and evidence required to ensure that every model release is reproducible controlled and aligned with the intended clinical use. It works closely with the Software team which owns and maintains the underlying model runtime 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.
This is afoundational cross-functional role within the Data Intelligence team. It works closely with Data Scientists ML Engineers and Data Engineers to establish reproducible model development and delivery practices.
The role partners with Clinical Regulatory and Product teams to translate clinical objectives intended use and regulatory requirements into model lifecycle controls. It collaborates with Systems Engineering to ensure models meet system-level requirements and with Software Engineering to define deployment interfaces runtime requirements and release processes across cloud smartphone and embedded environments.
The Principal MLOps Architect willdesign and own the end-to-end model lifecycle architectureand governance framework that enables INBRAINs data scientists and ML engineers to takeadaptive 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 updatedacross cloud smartphone and embedded runtimes. It establishes the MLOps pipelines validation gates traceability and evidence required to ensure that every model release is reproducible controlled and aligned with the intended clinical use. It works closely with the Software team which owns and maintains the underlying model runtime 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.
This is afoundational cross-functional role within the Data Intelligence team. It works closely with Data Scientists ML Engineers and Data Engineers to establish reproducible model development and delivery practices.
The role partners with Clinical Regulatory and Product teams to translate clinical objectives intended use and regulatory requirements into model lifecycle controls. It collaborates with Systems Engineering to ensure models meet system-level requirements and with Software Engineering to define deployment interfaces runtime requirements and release processes across cloud smartphone and embedded environments.
What Youll Do
Main Responsibilities:
Mandatory Qualifications and Soft skills:
Nice to have:
Soft Skills:
- Design and own themodel 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. Ensure that model artifacts and their supporting evidence are reproducible and retrievable throughout the product lifecycle.
- Lead the technical implementation of a controlled model-change framework aligned with applicable PCCP requirements and design-control processes. Define permitted modification types operating boundaries acceptance criteria risk-based validation protocols approval requirements and release evidence for adaptive models. Partner with Clinical Regulatory Product and Software teams to ensure that model updates remain within approved safety and performance limits.
- 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 thresholds alerting investigation workflows and criteria for scheduled or event-triggered retraining and controlled model updates in collaboration with Clinical Regulatory and Software teams.
- Establish and maintain traceability between model development activities software and model artifacts verification and validation results risk management records approvals and releases. Ensure that MLOps processes generate the documentation and evidence required to support design reviews change control verification validation and audits.
- 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. Establish clear integration contracts with Software Engineering for model handover and execution.
Mandatory Qualifications and Soft skills:
- Bachelors or Masters degree in Computer Science Mathematics Physics Electrical Engineering or a related field.
- At least7 years of hands-onMLOpsengineering experience (preferably in medtech industry) designing and implementing production MLOps architectures including model registries and versioning experiment tracking reproducible training pipelines automated model validation CI/CD for ML containerized deployment and workflow orchestration (e.g. MLflow Argo Kubeflow or equivalent).
- Strong experience with infrastructure-as-code automation and production Python workflows. Demonstrated ability to work directly with Data Scientists and ML Engineers to transform experimental research code into reproducible tested maintainable and production-ready ML pipelines.
- 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.
- Proven experience shipping ML into a regulated or safety-critical environment (medtech 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.
Nice to have:
- Experience with FDAs 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
- Experience optimizing and deploying ML models across heterogeneous environments including cloud infrastructure mobile devices and embedded or resource-constrained hardware using techniques such as quantization pruning and model optimization.
- Familiarity with clinical data standards (FHIR SNOMED CT NWB/BIDS) and ISO 14155/MDR/ICH E9 evidence frameworks.
Soft Skills:
- 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 thats hard to retrofit later over premature infrastructure that may need to be rebuilt.
- Strong written documentation skills given the roles heavy emphasis on producing auditable change-control and validation records.
What Youll Bring
Recruitment Process
AtINBRAIN we believe that diverse perspectives drive innovation and lead to better outcomes for our team our technology and the patients we serve. We are committed to fostering an inclusive workplace where everyone is valued respected and empowered to succeed.
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.
To ensure a positive candidate experience we aim to provide a transparent efficient and respectful hiring process with timely communication and feedback throughout.
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.
To ensure a positive candidate experience we aim to provide a transparent efficient and respectful hiring process with timely communication and feedback throughout.
- People & Culture Screening (30 min) A brief introduction to learn about your background career aspirations and interest in INBRAIN.
- Hiring Manager Interview (60-90 min) A deeper discussion focused on your experience technical expertise and alignment with the role and team.
- Technical Case (approx. 4 hrs take-home 60 min defense) A practical case to complete at home. Youll then present and discuss it with the technical interviewers.
- Culture Fit Interview (60 min)- Conversations with key stakeholder and People & Culture Representative.
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 youll learn grow and advance in an innovative culture.
WHAT CAN WE OFFER TO YOU
Applications must be submitted in English
At INBRAIN were not just offering a job were inviting you to be part of a transformative journey Are you ready to transform lives Join us!
#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.
WHAT CAN WE OFFER TO YOU
- Acollaborative 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. Youll 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. Youll 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.
Applications must be submitted in English
At INBRAIN were not just offering a job were inviting you to be part of a transformative journey Are you ready to transform lives Join us!
#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: outstanding impact needs outstanding people.
Our mission is to transform the treatment of neurological disorders through neuroelectronic therapies that are safer smarter and more humancentered. 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 Firstwe 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 decisionfrom research to clinical translationshapes real futures. And we embrace aGrowth Mindsetcreating an environment where learning is continuous curiosity is celebrated and people are supported to stretch beyond their comfort zones.
At Inbrain youll join a team united by purpose and energized by possibility. If youre looking for a place where your talent can contribute to meaningful changeand where you can grow while helping others thriveyoull feel at home here.
Our mission is to transform the treatment of neurological disorders through neuroelectronic therapies that are safer smarter and more humancentered. 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 Firstwe 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 decisionfrom research to clinical translationshapes real futures. And we embrace aGrowth Mindsetcreating an environment where learning is continuous curiosity is celebrated and people are supported to stretch beyond their comfort zones.
At Inbrain youll join a team united by purpose and energized by possibility. If youre looking for a place where your talent can contribute to meaningful changeand where you can grow while helping others thriveyoull feel at home here.
Required Experience:
Staff IC
About Company
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 intersectio ... View more
