Key skills
PythonPyTorchScikit-LearnTensorflowAIMLGenerative AITensorFlowscikit-learnMLOpsCollaboration
About this role
Role Overview
- Develop intelligent models that personalize digital therapies.
- Design and train supervised and unsupervised learning models on longitudinal health data.
- Build scalable data pipelines for model training, testing, and deployment.
- Work closely with engineering to embed models into production SaMDs.
- Ensure models meet explainability, reproducibility, and regulatory standards.
- Evaluate generative AI tools for education and coaching applications.
Requirements
- 4+ years in ML/AI engineering, preferably with digital health datasets.
- Experience with TensorFlow, PyTorch, scikit-learn, and MLOps pipelines.
- Strong skills in Python, data wrangling, and real-world signal processing.
- Understanding of clinical validation, bias mitigation, and privacy-preserving ML.
Tech Stack
- Python
- PyTorch
- Scikit-Learn
- Tensorflow
Benefits
- Remote-first culture
- Collaboration with leading partners in Pharma, MedTech, and academic research