Added
1 day ago
Type
Full time
Salary
Salary not provided

Related skills

python tensorflow pytorch mlops data pipelines
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πŸ“‹ 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 personalized care
  • Integrate ML models into SaMD and digital therapeutics
  • Ensure reproducibility, monitoring, and performance of ML workflows
  • Adhere to explainability, privacy, and regulatory requirements

🎯 Requirements

  • 4+ years in AI/ML, data science, or related field (healthcare data preferred)
  • Strong Python skills; data wrangling and signal processing
  • Experience with TensorFlow, PyTorch, scikit-learn
  • Experience with MLOps pipelines for development, testing, deployment
  • Familiarity with longitudinal/time-series health data
  • Knowledge of clinical validation, bias mitigation, privacy-preserving ML

🎁 Benefits

  • Fully remote, Europe-based candidates preferred
  • Full-time, permanent role in healthcare tech
  • Opportunity to work on digital health and digital therapeutics
  • Exposure to real-world health data and advanced AI/ML tech
  • Experience in an SaMD/regulatory-focused environment
  • Collaboration with Pharma, MedTech, and academia
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