System Engineer

4 settimane fa


Milano, Italia Institute Itech A tempo pieno

Technical Lead & Project Manager (TLPM) – MemoriaTM Project AI Developer & Cognitive Systems Specialist
Part-time, unpaid during the early phase
Hybrid work model (remote and/or on-site in Milan, Doha – Qatar, or Boston)
Travel and meeting expenses will be reimbursed upon approval
This position may evolve into a Chief MedTech Technology Officer, AI Director, or Lead Engineer – Cognitive Systems, based on performance and project growth.
Institute Itech is an early-stage multinational company committed to building a new model of society grounded in education, advanced technology, and social development.
We are launching several innovation projects, including:
MemoriaTM – AI-powered MedTech platform for cognitive health, early detection, and neuro-assistive support
OxyleafTM – Synthetic plant systems for urban regeneration and clean energy
TerraTM – Underground sensor networks for environmental and agricultural intelligence
WhiteboardTM – Adaptive learning and smart education technologies
PolarisTM by IFE – AI platform for economic, geopolitical, and statistical intelligence
We are seeking a Technical Lead & Project Manager (TLPM) specialised in Artificial Intelligence, cognitive modelling, and high-level software architecture to lead the technological development of the MemoriaTM Project.
AI Technical Lead
Core Developer
System Architect
Project Manager (PM)
Team Supervisor
This is a pivotal role with responsibility over the entire technological direction of MemoriaTM, including AI models, data pipelines, app architecture, dashboards, caregiver tools, and clinical integration pathways.
Lead development of AI cognitive models, early-detection algorithms, and neural behaviour mapping
Design and supervise ML pipelines, dataset preparation, model training, and validation
Ensure compliance with medtech ethics, privacy (GDPR), and data anonymisation
Software Architecture:
Define backend architecture (Python, Node.js, Go, or similar)
Supervise APIs, cloud infrastructure (AWS/GCP/Azure), and microservices
Oversee integration with wearable devices, sensors, and digital health interfaces
Coordinate UI/UX for patient and caregiver tools
Project Management:
Manage roadmap, sprint planning, and development milestones
Supervise junior engineers and interns
Coordinate scientific collaboration with medical supervisors and research partners
Present project updates to leadership, universities, and institutional partners
Master's Degree in Computer Science, AI, Data Science, Engineering, or related fields
Preferred: PhD in AI, Machine Learning, Cognitive Computing, or Computational Neuroscience
At least 5 years of experience in software development or AI engineering
Advanced knowledge of scripting and programming languages:
Python (mandatory)
JavaScript/TypeScript
Experience with C/C++ or Go is a plus
Data processing, ETL pipelines, time-series modelling
Cloud services, APIs, containers (Docker)
Experience working in medtech, neurotech, or digital health is highly preferred
Fluent in English (Italian is a strong plus)
Background in brain mapping, cognitive computing, or neuro-assistive technologies
Previous experience in clinical environments or with medical datasets
Experience in ethical AI, explainable AI, or health data privacy frameworks
Ability to collaborate with doctors, neuroscientists, and academic researchers
Familiarity with CE/MDR medical device processes
Reimbursement of travel, meetings, and project-related expenses
Access to advanced AI tools, cloud resources, and collaboration platforms
Key leadership position in a flagship MedTech innovation
Direct involvement in research, clinical collaborations, and publication opportunities
A Letter of Presentation (max 1 page) in English or Italian, explaining:
Why you want to lead the technological development of MemoriaTM
How your knowledge can shape cognitive assistance technologies
We are seeking a proven AI engineer and technical leader capable of building the core technology of MemoriaTM from concept to real-world deployment.


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