AI/ML Engineer

Key Responsibilities:

• Design, develop, train, and evaluate machine learning models using longitudinal and real-world health data.
• Build scalable data pipelines and integrate models into production Software as a Medical Device.
• Collaborate with cross-functional teams to translate clinical challenges into technical solutions.

Requirements:

• 4+ years of experience in AI/ML engineering with strong proficiency in Python and ML frameworks.
• Experience with MLOps pipelines, real-world health data, and regulated environments.
• Strong analytical skills and ability to work in a remote, distributed team.

Benefits:

• Fully remote working environment with Europe-based candidates preferred.
• Opportunity to work on next-generation digital health solutions with real-world impact.
• Collaboration with multidisciplinary teams across Pharma, MedTech, and academia.