AI/ML Engineer

📋 Description

• Design, develop, train, and evaluate ML models from health data.
• Build scalable data pipelines for model training and deployment.
• Develop ML solutions for health risk prediction and adaptive care.
• Integrate ML models into SaMD and digital therapeutics with engineering teams.
• Establish reproducibility, monitoring, and performance optimization.
• Ensure explainability, privacy, and regulatory compliance.

🎯 Requirements

• 4+ years in AI/ML, data science, or related field (digital health data preferred).
• Strong Python, data wrangling, ML development, real-world signal processing.
• Experience with TensorFlow, PyTorch, scikit-learn.
• Designing ML and MLOps pipelines for model lifecycle.
• Experience with longitudinal/time-series health data.
• Clinical validation, bias mitigation, privacy-preserving ML.

🎁 Benefits

• Fully remote environment, Europe-based candidates preferred.
• Full-time, permanent role in healthcare tech.
• Opportunity to develop next-gen digital health/therapeutics.
• Work with real-world health data and advanced AI/ML tech.
• Exposure to SaMD with emphasis on quality and regulatory standards.
• Collaboration with Pharma, MedTech, and academia partners.