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 Quickhyre AI

QuickHyre AI is an online job portal and HRMS software platform for hiring and workforce management, trusted by over 10 million active users. It connects freshers and experienced professionals across all career levels with verified job opportunities, while enabling companies to hire, onboard, and manage employees through a single system. Candidates use QuickHyre AI to search and apply for jobs across entry-level, mid-level, and senior roles, including internships and contract positions across tech and non-tech domains. Employers use QuickHyre AI as a hiring platform, applicant tracking system (ATS), and HRMS to post jobs, screen candidates, manage applications, onboard hires, and maintain employee records. Built for startups, growing companies, and enterprises, QuickHyre AI reduces irrelevant applications, improves hiring efficiency, and simplifies HR operations. By combining job discovery, online recruitment, and HR management software, QuickHyre AI supports end-to-end talent acquisition and workforce administration at scale.