Senior ML Engineer

Stack

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
• ▹Collaborate with product, data and engineering teams to integrate ML solutions into production workflows
• ▹Analyze model outputs, perform error analysis and iterate quickly based on results
• ▹Document methodologies, experiments and best practices

Requirements

• ▹3-9 years of experience in machine learning engineering or research
• ▹Proven experience developing and deploying ML solutions for OCR, NLP, document processing and/or speech/voice technologies
• ▹Proficiency with Python and ML frameworks such as 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

Nice to have

• ▹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

Soft skills

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

About the company

Coral AI (trycoral.ai) is building an intelligent automation platform to make healthcare administration more efficient, processing handwritten faxes, medical records and blurry scans with 98.7% accuracy. Backed by Lightspeed and featured in Forbes, the company scaled to multi-million dollars in ARR in under six months.