• 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
• 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