AI/ML Engineer
Tasks
- Apply real world signal processing data preparation feature engineering model validation
- Build data pipelines for model training testing validation deployment
- Contribute to machine learning infrastructure improvements and MLOps processes
- Design develop train evaluate machine learning models
- Develop risk prediction models for personalized interventions
- Ensure privacy explainability reliability and regulatory compliance
- Establish processes for model reproducibility monitoring evaluation performance optimization
- Evaluate adopt generative AI for healthcare education and coaching
- Integrate machine learning models into production software as a medical device
Perks/Benefits
- Collaboration with multidisciplinary teams
- Exposure to software as a medical device environment
- Fully Remote Working Environment
- Permanent role
- Remote-first culture
- Technology focused healthcare environment
Skills/Tech-stack
Data Wrangling | Feature Engineering | Generative AI | MLOps | Machine Learning | PyTorch | Python | Scikit-learn | Signal Processing | TensorFlow | Time Series
Education
N/A
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