4 months ago
Responsibilities
- Design, build, and deploy scalable machine learning models for OCR, document understanding, and voice processing
- Research and implement algorithms that extract structured information from unstructured documents and audio
- Optimize and fine-tune models for real-world performance and reliability
- Collaborate with product, data, and engineering teams to integrate ML solutions into production workflows
- Analyze model outputs, perform error analysis, and iterate based on results and feedback
- Document methodologies, experiments, and best practices
Requirements
- 2–5 years of experience in machine learning engineering or research
- Experience developing and deploying ML solutions for OCR, NLP, document processing, and/or speech or voice technologies
- Proficiency with Python and machine learning frameworks such as TensorFlow or PyTorch
- Strong understanding of deep learning architectures including CNNs, RNNs, and Transformers
- Experience with AWS, GCP, or Azure and scalable model deployment using Docker and Kubernetes
- Ability to analyze large datasets, develop metrics, and troubleshoot complex ML pipelines
- Strong problem-solving, communication, and teamwork skills
- Willingness to work on-site in Bengaluru or New York City
- Healthcare AI, document AI, voice-based healthcare, OCR toolkit, or high-compliance production experience is preferred
Benefits
- Opportunity to work on mission-critical healthcare problems impacting millions
- Collaborative, high-growth environment with an expert team
- Comprehensive benefits
- On-site work in a centrally located modern office in Bengaluru or NYC
Tech Stack
Categories
About Coral AI
Coral is a healthcare platform designed to help providers run smarter, faster, and more autonomously. By leveraging AI-driven automation and agentic workflows, Coral integrates with existing healthcare systems to automate complex tasks across patient intake, prior authorization, billing, compliance and patient outreach. Coral reduces human error, accelerates care delivery, and frees up healthcare staff to focus on areas where judgment and empathy matter most.