Machine Learning Engineer - Hybrid Remote

About Us Nuraxi Holding SRL is pioneering the future of AI-driven healthcare and longevity science. We lead the SABA (Sardinian Aging Biomarkers Analysis) project—a landmark study into the markers of healthy aging in Sardinia’s renowned “Blue Zone.” Our mission is to unlock actionable insights from biometric, genomic, and behavioral data through cutting-edge technology and precision medicine. The Project The SABA project combines wearable technology, AI, and precision medicine to understand longevity factors in Sardinia’s “Blue Zone” population. You’ll contribute to a sophisticated production platform that: Processes and visualizes biometric and behavioral data Supports clinical trial workflows and health assessments You’ll work as part of a senior, multidisciplinary team that is reshaping how we understand—and extend—human healthspan. Remote-first in Italy As an ML Engineer / Data Scientist at Nuraxi, you’ll be a core contributor to the development of our AI systems. Your work will power the digital twin models that drive personalized insights for thousands of users across clinics and health platforms. Design, build, and maintain end-to-end machine learning pipelines Translate biometric, wearable, and behavioral data into actionable healthspan predictions Collaborate cross-functionally with product, engineering, and research to prototype and deploy new models Help establish best practices for monitoring, versioning, and validating ML systems Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related STEM field ~3+ years of hands-on experience in applied machine learning and data engineering ~ Strong Python skills, with clean code and OOP foundations ~ Production experience deploying models in cloud environments (GCP, AWS, or similar) ~ Familiarity with data orchestration tools like Airflow or Dagster ~ Comfortable owning the full lifecycle of a model, from prototyping to monitoring ~ Fluent in English PhD or postdoctoral research in a quantitative or biomedical field Experience working with biometric, time-series, or wearable health data Exposure to edge deployment or embedded AI systems Knowledge of model monitoring (drift detection, explainability, etc.) Italian language skills (optional but welcome) Competitive annual salary based on experience Fully remote with async flexibility and collaborative culture Language Requirements ~ Strong English communication skills (spoken and written) are essential. Full Stack React/Django Candidate Application” Your CV or LinkedIn profile Your GitHub, portfolio, or project samples Studies show that women and other underrepresented groups are less likely to apply for a role unless they meet every single requirement. If you’re passionate about our work and think you could make a contribution, we strongly encourage you to apply—even if your background doesn’t perfectly match the job description. We celebrate diversity and are committed to creating an inclusive environment for all employees.