Job Summary

- 11–14 years of experience in data science / AI-ML roles
- Strong Python skills; hands-on experience with ML/deep learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
- Signal processing experience, ideally with biomedical or other time-series signals (ECG or similar)
- Solid grounding in statistics and mathematical formulation of models
- Experience with image processing and analysis is a plus
- Able to own a problem end-to-end — from data audit through to a production-ready model or report, not just isolated experimentation
- Experience working with healthcare data is required; specific experience with cardiopulmonary datasets is an added advantage
- Experience working in AWS cloud environments, using Jupyter notebooks for running model training, simulation, and hypothesis testing
- Understanding of data security and privacy practices when handling sensitive health data

Key Responsibilities

- 11–14 years of experience in data science / AI-ML roles
- Strong Python skills; hands-on experience with ML/deep learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
- Signal processing experience, ideally with biomedical or other time-series signals (ECG or similar)
- Solid grounding in statistics and mathematical formulation of models
- Experience with image processing and analysis is a plus
- Able to own a problem end-to-end — from data audit through to a production-ready model or report, not just isolated experimentation
- Experience working with healthcare data is required; specific experience with cardiopulmonary datasets is an added advantage
- Experience working in AWS cloud environments, using Jupyter notebooks for running model training, simulation, and hypothesis testing
- Understanding of data security and privacy practices when handling sensitive health data

Skill Requirements





- 11–14 years of experience in data science / AI-ML roles
- Solid Python skills; hands-on experience with ML/deep learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
- Signal processing experience, ideally with biomedical or other time-series signals (ECG or similar)
- Solid grounding in statistics and mathematical formulation of models
- Experience with image processing and analysis is a plus
- Able to own a problem end-to-end — from data audit through to a production-ready model or report, not just isolated experimentation
- Experience working with healthcare data is required; specific experience with cardiopulmonary datasets is an added advantage
- Experience working in AWS cloud environments, using Jupyter notebooks for running model training, simulation, and hypothesis testing
- Understanding of data security and privacy practices when handling sensitive health data

Must Have Skill

Data Science,Python,TensorFlow

Good to Have Skill

Other Requirements

- 11–14 years of experience in data science / AI-ML roles
- Strong Python skills; hands-on experience with ML/deep learning frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
- Signal processing experience, ideally with biomedical or other time-series signals (ECG or similar)
- Solid grounding in statistics and mathematical formulation of models
- Experience with image processing and analysis is a plus
- Able to own a problem end-to-end — from data audit through to a production-ready model or report, not just isolated experimentation
- Experience working with healthcare data is required; specific experience with cardiopulmonary datasets is an added advantage
- Experience working in AWS cloud environments, using Jupyter notebooks for running model training, simulation, and hypothesis testing
- Understanding of data security and privacy practices when handling sensitive health data

📌 Senior Group Technical Architect (India)
🏢 HCLTech
📍 India