
11 - 50 employees
Founded 2024
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
Healthcare • Artificial Intelligence • SaaS
Coral AI is a healthcare platform that uses AI-driven automation and agentic workflows to help providers run smarter, faster, and more autonomously. It integrates with existing healthcare systems to automate complex administrative and clinical-adjacent tasks — including patient intake, prior authorization, billing, compliance, and patient outreach — reducing human error, accelerating care delivery, and freeing clinical staff to focus on decisions and patient-facing empathy.
🔥 1 hour ago
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11 - 50 employees
Founded 2024
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
Healthcare • Artificial Intelligence • SaaS
Coral AI is a healthcare platform that uses AI-driven automation and agentic workflows to help providers run smarter, faster, and more autonomously. It integrates with existing healthcare systems to automate complex administrative and clinical-adjacent tasks — including patient intake, prior authorization, billing, compliance, and patient outreach — reducing human error, accelerating care delivery, and freeing clinical staff to focus on decisions and patient-facing empathy.
• Design, build, and deploy scalable machine learning models for OCR, document understanding, and voice processing • Research and implement algorithms for extracting structured information from unstructured documents and audio • Optimize and fine-tune models for real-world performance and reliability • Work alongside product, data, and engineering teams to integrate ML solutions into production workflows • Analyze model outputs, perform error analysis, and iterate quickly based on results and feedback • Document methodologies, experiments, and best practices
• 3–9 years of experience in machine learning engineering or research • Proven experience in developing and deploying ML solutions for OCR, NLP, document processing, and/or speech/voice technologies • Proficiency with Python and ML frameworks like TensorFlow or PyTorch • Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, etc.) • Experience with cloud platforms (AWS, GCP, or Azure) and scalable model deployment (Docker, Kubernetes) • Ability to analyze large datasets, develop metrics, and troubleshoot complex ML pipelines • Excellent problem-solving, communication, and teamwork skills • Willingness to work on-site in Bengaluru or NYC
• The opportunity to work on mission-critical problems that impact millions • A collaborative, high-growth environment with an expert team • Competitive salary and comprehensive benefits • Centrally located modern office in Bengaluru or NYC
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