The Role: We are looking for a curious and passionate Data Scientist to join our high-impact team. You'll work directly on AI models that analyse cardiac data and further save life. This role offers the unique opportunity to see your work make a tangible difference in patient outcomes while building state-of-the-art models.

Design and Implement AI Models: Develop, train, and evaluate machine learning and deep learning models for cardiac datasets and associated metadata.

Data Pipeline Development: Work with large, complex, and sometimes messy clinical datasets. Contribute to building robust and scalable data pipelines for data ingestion, cleaning, feature engineering, and labeling.

Model Deployment and MLOps: Deploy models to production environments and monitor their performance in real-world clinical settings. Build and maintain REST APIs for model inference using frameworks like FastAPI or Flask. Implement and maintain robust MLOps practices, including version control, continuous integration/continuous deployment (CI/CD), and model monitoring in a production workplace (e.g.,



cloud platforms like AWS, Azure, or GCP).

Performance Optimization: Optimize model performance for inference speed and resource efficiency, crucial for deployment on various platforms (cloud, edge devices).

Collaboration: Work collaboratively with software engineers, data scientists, and clinical domain experts to translate clinical needs into technical requirements and deliver high-impact solutions.

Stay current with the latest research in deep learning, medical image analysis, and time-series analysis.

Regulatory and Compliance : Develop documentation in order to comply with regulatory requirements such as CDSCO, FDA etc.

Experience: 2+ years of professional experience as a Data Scientist, or a related role.

strong BTech with relevant experience considered.

Programming: Proficiency in Python and experience with core data science libraries (NumPy, pandas, scikit-learn).

Hands-on e

📌 Tech Data Scientist (Bengaluru)
🏢 Tricog Health
📍 Bengaluru