AI/ML Engineer

📋 Description

• Design, train, and evaluate ML models using 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 evaluation processes.
• Ensure explainability, privacy, and regulatory compliance.

🎯 Requirements

• 4+ years in AI/ML, data science, or related field, healthcare data a plus.
• Strong Python, data wrangling, and ML development skills.
• Experience with TensorFlow, PyTorch, scikit-learn.
• ML/Ops pipelines for development, testing, deployment, maintenance.
• Experience with longitudinal or time-series health data.
• Clinical validation, bias mitigation, privacy-preserving ML.

🎁 Benefits

• Fully remote, Europe-based candidates preferred.
• Full-time, permanent role in tech-focused healthcare.
• Work with real-world health data and advanced AI/ML tech.
• Exposure to SaMD environments with emphasis on quality and regulation.
• Collaborative, multidisciplinary teams with pharma/MedTech partners.
• Role at intersection of AI, behavioral science, and digital health.