AI/ML Engineer

📋 Description

• Design, train, and evaluate ML models on health data.
• Build scalable data pipelines for training and deployment.
• Integrate ML models into SaMD and digital therapeutics.
• Ensure reproducibility, monitoring, and regulatory compliance.
• Explore generative AI for healthcare education and coaching.

🎯 Requirements

• 4+ years in AI/ML, healthcare data experience.
• Strong Python, data wrangling, and ML development.
• TensorFlow, PyTorch, scikit-learn experience.
• Design and implement MLOps pipelines for lifecycle management.
• Experience with longitudinal/real-world/time-series data.
• Clinical validation, bias/privacy in healthcare ML.

🎁 Benefits

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