AI/ML Engineer
JobgetherRemotely
pythonmlopshealthcaredata pipelinespytorchtensorflowscikit learn
Job Description
📋 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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