AI/ML Engineer aa
Tasks
- Apply privacy explainability and regulatory compliance techniques
- Build data pipelines for model training and deployment
- Collaborate with cross functional teams to translate clinical challenges
- Develop supervised and unsupervised machine learning models
- Ensure model reproducibility and monitoring
- Evaluate and responsibly adopt generative AI for healthcare coaching
- Implement machine learning for health risk prediction
- Improve machine learning infrastructure and MLOps
- Integrate ML models into production Software as a Medical Device and digital therapeutics
- Perform data preparation feature engineering and model validation
Perks/Benefits
- Europe based candidates preferred
- Full-time permanent position
- Fully remote
- Healthcare technology environment
- Remote-first culture
- Work in regulated Software as a Medical Device environment
Skills/Tech-stack
Bias Mitigation | Data Pipelines | Explainability | Feature Engineering | MLOps | Machine Learning | Model Evaluation | Model Validation | Monitoring | Privacy-preserving | Privacy-preserving machine learning | PyTorch | Python | Real World Signal Processing | Reproducibility | Scikit-learn | Signal Processing | TensorFlow | Time Series
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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