Experience: 2+ years
- 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
- 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
- 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
- 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!
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This posting was published by Coral AI on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.