Machine Learning Engineer

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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
• Hosts LLM-powered AI tools for aging analysis and personalized insights

You'll work as part of a senior, multidisciplinary team that is reshaping how we understand—and extend—human healthspan.

?Location

?️ What You’ll Work On

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.

You will:

• 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
• Contribute to our long-term AI/ML roadmap, especially around explainability and personalization

? What We’re Looking For

Must-Have Qualifications

• 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)
• Experience with ML platforms (e.g., MLflow, Vertex AI, SageMaker, TFX)
• Familiarity with data orchestration tools like Airflow or Dagster
• Comfortable owning the full lifecycle of a model, from prototyping to monitoring

Nice-to-Have / Bonus Skills

• 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.)
• Background in medtech, biotech, or regulated environments
• Italian language skills (optional but welcome)

? What We Offer

• ? Competitive annual salary based on experience
• ? A front-row seat in transforming healthcare through AI and longevity science
• ? Work with a passionate, international team
• ? Real opportunity for growth and leadership
• ? Fully remote with async flexibility and collaborative culture
• 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

We review applications on a rolling basis. Early applicants will be prioritized.

? Note: Applicants must have a valid work permit for Italy. Unfortunately, visa sponsorship is not available

? A Note on Inclusivity

We know that not everyone ticks every box—and that’s okay. Studies show that women and other underrepresented groups are less likely to apply for a role unless they meet every single requirement. At Nuraxi, we value potential, curiosity, and mission alignment as much as experience. 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.

Nuraxi is an equal opportunity employer . We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, ethnicity, religion, gender, sexual orientation, age, disability status, or any other legally protected characteristic.