
11 - 50 employees
Founded 2024
π₯ Healthcare
π€ Artificial Intelligence
βοΈ SaaS
Healthcare β’ Artificial Intelligence β’ 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 β including patient intake, prior authorization, billing, compliance, and patient outreach β reducing human error, accelerating care delivery, and freeing clinical staff to focus on decisions and patient-facing empathy.
π₯ 0 minutes ago
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11 - 50 employees
Founded 2024
π₯ Healthcare
π€ Artificial Intelligence
βοΈ SaaS
Healthcare β’ Artificial Intelligence β’ 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 β including patient intake, prior authorization, billing, compliance, and patient outreach β reducing human error, accelerating care delivery, and freeing clinical staff to focus on decisions and patient-facing empathy.
β’ Design, build, and deploy scalable machine learning models for OCR, document understanding, and voice processing β’ Research and implement algorithms for extracting structured information from unstructured documents and audio β’ Optimize and fine-tune models for real-world performance and reliability β’ Work alongside product, data, and engineering teams to integrate ML solutions into production workflows β’ Analyze model outputs, perform error analysis, and iterate quickly based on results and feedback β’ Document methodologies, experiments, and best practices
β’ 3β9 years of experience in machine learning engineering or research β’ Proven experience in developing and deploying ML solutions for OCR, NLP, document processing, and/or speech/voice technologies β’ Proficiency with Python and ML frameworks like TensorFlow or PyTorch β’ Strong understanding of deep learning architectures (CNNs, RNNs, Transformers, etc.) β’ Experience with cloud platforms (AWS, GCP, or Azure) and scalable model deployment (Docker, Kubernetes) β’ Ability to analyze large datasets, develop metrics, and troubleshoot complex ML pipelines β’ Excellent problem-solving, communication, and teamwork skills β’ Willingness to work on-site in Bengaluru or NYC
β’ The opportunity to work on mission-critical problems that impact millions β’ A collaborative, high-growth environment with an expert team β’ Competitive salary and comprehensive benefits β’ Centrally located modern office in Bengaluru or NYC
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