Data Scientist
Core
Design, train, and deploy deep learning models to analyze cardiac data and improve patient outcomes.
Role type
Senior IC machine-learning engineer (medical imaging/time-series)
Builds
Production AI models for cardiac analysis and scalable inference APIs
Domain
Healthcare + Deep Learning
Deliverable
production ML models
Required skills
Python, PyTorch, deep learning (CNNs/RNNs/transformers), MLOps, cloud platforms (AWS/Azure/GCP), data pipeline development, model evaluation metrics
Preferred skills
Healthcare data experience, regulatory knowledge (FDA/CDSCO), statistical methods, PyTorch Lightning, serverless deployments, academic publications
Technologies
PyTorch, FastAPI, Flask, Docker, AWS, Azure, GCP, NumPy, pandas, scikit-learn
Responsibilities
Develop and evaluate deep learning models for cardiac datasets; build robust data pipelines for ingestion and feature engineering; deploy models to production and maintain MLOps practices; optimize inference performance; collaborate with clinical experts to translate needs into technical solutions; document models and research findings
Seniority
Mid-level, hands-on IC
