Expected duration: 1 - 2 weeks
We are looking for an experienced Python developer with expertise in machine learning and signal processing to collaborate on developing a heart rhythm subclassification algorithm. Our goal is to further refine ECG rhythm analysis by subclassifying heart rhythms based on specific characteristics using the data we provide.
Scope of Work:
Develop a subclassification algorithm for heart rhythms using ECG data.
Implement machine learning techniques to categorize rhythms into finer subgroups.
Work closely with our team to integrate domain-specific logic for classification.
Optimize the model for accuracy, precision, and real-time performance.
Validate and test the model against labeled ECG datasets.
Required Skills & Expertise:
Proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Experience in ECG signal processing, time-series analysis, and feature engineering.
Strong understanding of classification models, deep learning (CNNs, RNNs, LSTMs).
Knowledge of cardiac rhythm characteristics and ECG interpretation is a plus.
Experience with data preprocessing, augmentation, and statistical validation.
Preferred Qualifications:
Prior experience working with medical or physiological datasets.
Ability to collaborate and iterate based on medical/clinical feedback.
Experience with deploying AI models via APIs or embedded systems. |
