At Coral AI (trycoral.ai), we’re engineering the intelligent operating system for a more efficient healthcare industry. As recently featured in Forbes, we are tackling a massive administrative bottleneck, a $450 billion crisis that consumes 25% of U.S. healthcare spending and forces patients to wait weeks for life-saving treatment.

Our agentic automation platform is uniquely designed for healthcare’s "messy" reality, utilising sophisticated AI to digest handwritten faxes, complex medical records, and blurry scans with an unprecedented 98.7% accuracy. Backed by Lightspeed and founded by a team with deep roots in AI and robotics, we’ve scaled to late 7 figures in ARR in less than six months by delivering immediate, Day-1 value to medical equipment providers, clinics and specialty pharmacies.

By slashing patient wait times from five days to under three hours, we’re doing more than just automating paperwork; we’re returning time to clinicians and ensuring that care is never delayed by a document. If you’re a high-ownership builder who wants to solve mission-critical problems in OCR and NLP while making a tangible impact on human lives, come help us build the infrastructure that lets healthcare scale

Job Title: ML Engineer

Role Overview

As an ML Engineer at Coral AI, you will play a critical role in developing and deploying advanced machine learning solutions focused on OCR (Optical Character Recognition), document processing, and voice technologies. You’ll collaborate closely with cross-functional teams to architect, train, and optimize state-of-the-art models that power automation and intelligence across our platform.

Key Responsibilities

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

Requirements

2–5 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

Bonus Points

Prior experience in healthcare AI, document AI, or voice-based healthcare applications

Familiarity with OCR toolkits (Tesseract, AWS Textract, Google Vision API, etc.)

Background in productionizing ML models in high-compliance environments

What We Offer

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

Apply today and help us reimagine healthcare with AI at Coral AI!