Urgent! ML Engineer – Physiological Signal Analysis Job Opening In New Delhi – Now Hiring CIPRA.ai
Position Overview We are seeking a full‑time Machine Learning Engineer with strong expertise in signal processing and predictive modeling for physiological sensor data.
The role focuses on developing and validating models using photoplethysmography (PPG) and related multimodal signals to derive meaningful health insights.
The ideal candidate will be passionate about advancing healthcare technology and eager to build reliable, clinically relevant AI models that bridge wearable sensing and digital health applications.
Key Responsibilities Develop, optimize, and evaluate ML models for physiological sensor data, focusing on extracting clinically meaningful insights from multimodal signals such as PPG, accelerometer, and ECG.
Design preprocessing and feature-extraction pipelines for time-series data and implement signal-quality assessment techniques.
Set up and operate hardware platforms for data collection; collaborate with clinicians and research partners to design and manage studies, ensuring high-quality data collection.
Implement signal-quality assessment and noise-reduction techniques to enhance model robustness.
Collaborate with data scientists and clinicians to interpret model outputs in a clinical context.
Integrate ML pipelines into production systems (cloud or edge) and support model deployment.
Conduct literature reviews in biomedical signal processing and machine learning for health applications.
Contribute to research documentation, publications, and regulatory validation processes.
Qualifications Bachelor’s, Master’s, or Ph.D. in Computer Science, Biomedical Engineering, Electrical Engineering, or a related field.
Strong foundation in machine learning, signal processing, and time-series modeling.
Experience working with physiological or wearable sensor data (e.g., PPG, ECG, accelerometer), including data preprocessing and feature engineering.
Hands-on experience with sensors or wearable devices, including calibration, data acquisition, and troubleshooting.
Proficiency in Python and ML frameworks such as PyTorch; familiarity with cloud platforms (e.g., AWS) is a plus.
Prior exposure to healthcare or wearable-sensor applications is highly desirable.
Excellent analytical, communication, and problem-solving skills.
Self-driven and comfortable taking ownership of projects; ability to work collaboratively across India‑based and global teams.
About Us: CIPRA.ai is an emerging startup in the digital health sector, specializing in innovative solutions for chronic disease management, including hypertension and diabetes.
Our mission is to provide personalized and proactive healthcare that integrates key lifestyle factors for managing chronic conditions.
We develop cloud-based AI platforms and wearable technologies designed for efficient patient engagement and superior healthcare outcomes.
Our technology has been validated through multiple clinical trials at leading institutions over the past six years, and we have established partnerships and commercial rollouts with health systems in the United States and around the world.
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Real-time ML Engineer Jobs Trends in New Delhi, India (Graphical Representation)
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Great news! CIPRA.ai is currently hiring and seeking a ML Engineer – Physiological Signal Analysis to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at CIPRA.ai adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a ML Engineer – Physiological Signal Analysis Jobs India varies, but the pay scale is rated "Standard" in New Delhi. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for ML Engineer – Physiological Signal Analysis typically include Prb and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your ML Engineer – Physiological Signal Analysis interview at CIPRA.ai, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the CIPRA.ai's products or services and be prepared to discuss how you can contribute to their success.
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