iCardio.ai
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About
iCardio.ai is an AI-powered echocardiography analysis tool. It offers solutions for enterprises, clinicians, and institutions, including automated ejection fraction calculation, feature extraction and navigation, and LVOT and aortic diameter measurements. The tool leverages a database of 200M+ images and is FDA 510(k) cleared for EchoMeasureTM and pending FDA clearance for CardioVisionTM. It integrates with various PACS systems and offers custom solutions and data for clinical validation. The company is hiring for a Head of Engineering role in Los Angeles.
Platform
Task
Features
• image quality assessment
• lvot and aortic diameters
• feature extraction and navigation
• automated ejection fraction
• image-to-text ai tool
• detect structural heart disease
• linear and volumetric measurement estimations
Job Opportunities
Head of Engineering
AI-powered echocardiography analysis tool with automated measurements, disease detection, and image quality assessment.
Experience Requirements:
Strong background in Python, with experience in Django and REST frameworks.
Proven track record of leading technical teams and managing complex projects.
Experience with containerization (Docker) and orchestration (Kubernetes).
Understanding of ML model serving architectures and MLOps best practices
Responsibilities:
Lead and mentor a team of ML/AI engineers in developing and deploying production-grade medical imaging solutions.
Orchestrate the end-to-end ML lifecycle, from model development to production deployment using Nvidia Triton Servers.
Design and implement scalable MLOps infrastructure to support model training, validation, and monitoring.
Establish and maintain CI/CD pipelines for reliable model deployment and updates.
Collaborate with cross-functional teams to integrate AI solutions into our medical device products.
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