ML Engineer
CORAL AI LLC
New York, NY, United States
6 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Microsoft Azure
Big Data
Python (Programming Language)
Machine Learning
Tensorflow
Pytorch
Deep Learning
Kubernetes
Machine Learning Operations
+1 more
Docker
Job description
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., * 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
Benefits & conditions
- 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
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