Experience: 3+ years
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 - 3-9 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!
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