4 months ago
Remote, WorldwideSenior / Mid Level
H1B Sponsor
Responsibilities
- Design, build, and deploy scalable machine learning models for OCR and document 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.
- 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
- 3–9 years of experience in machine learning engineering or research.
- Proven experience in developing and deploying ML solutions for OCR, NLP, and document processing.
- 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 and troubleshoot complex ML pipelines.
- Excellent problem-solving, communication, and teamwork skills.
- Willingness to work on-site in Bengaluru or NYC.
Benefits
- Opportunity to work on mission-critical problems that impact millions.
- Collaborative, high-growth environment with an expert team.
- Competitive salary and comprehensive benefits.
- 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.