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Data Scientist ECG Signal Processing & AI @ K Pra Foods

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 Data Scientist ECG Signal Processing & AI

Job Description

    Please ONLY APPLY if you have worked with ECG (electrocardiogram) signal processing. Job Summary: We are seeking a highly skilled Data Scientist to work with ECG signals, leveraging Python, MATLAB, Machine Learning, and Biomedical Signal Processing to develop, test, train, and evaluate data models. The goal is to build and optimize AI-driven solutions for ECG interpretation. The ideal candidate will have experience in ECG signal processing, machine learning model development, and AI-driven diagnostics in healthcare applications. Key Responsibilities: Develop, train, and evaluate machine learning models for ECG interpretation. Perform ECG signal processing, feature extraction, and data preprocessing. Implement and optimize algorithms for ECG classification, anomaly detection, and arrhythmia prediction. Work with Python and MATLAB to analyze large-scale ECG datasets. Develop AI-driven solutions for real-time and offline ECG analysis. Collaborate with biomedical engineers, software developers, and medical experts to refine AI models. Validate and benchmark models against clinical datasets and regulatory standards. Research and implement state-of-the-art deep learning techniques for physiological signals. Document findings and contribute to scientific publications, patents, and technical reports. Requirements: Strong proficiency in Python and MATLAB for scientific computing and machine learning. Experience in biomedical signal processing, especially ECG signal analysis. Knowledge of supervised and unsupervised learning techniques for healthcare data. Proficiency in frameworks such as TensorFlow, PyTorch, or Scikit-learn. Familiarity with feature extraction techniques, time-series analysis, and DSP methods. Hands-on experience with deep learning architectures (CNNs, RNNs, Transformers) for signal analysis. Experience working with large-scale healthcare datasets and regulatory compliance standards. Strong understanding of statistical modeling, feature engineering, and classification techniques. Ability to write clean, maintainable, and well-documented code. Preferred Qualifications: Experience with cloud-based AI deployment (AWS, Google Cloud, or Azure). Prior experience in ECG-based diagnostics, wearable health tech, or clinical AI applications. Familiarity with explainable AI (XAI) methods for healthcare model interpretability. Knowledge of FDA/CE medical device regulatory processes and validation frameworks. Experience in publishing research in scientific journals or conferences.,

Employement Category:

Employement Type: Full time
Industry: Medical / Healthcare
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Data Scientist ECG Signal Processing & AI

Contact Details:

Company: Cardiolyse
Location(s): All India

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Keyskills:   Python MATLAB Machine Learning Feature Extraction Algorithm Optimization Anomaly Detection Deep Learning Transformers Statistical Modeling TensorFlow PyTorch

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K Pra Foods

K_pra Foods is a leading name in the food industry, known for our innovative and high-quality products. We are committed to delivering the best culinary experiences to our customers. Join our dynamic team and contribute to our mission of bringing delicious and healthy food to every table.