Machine Learning OCR Processor

As a highly experienced Machine Learning OCR Processor, you will be required to have deep expertise in Nanonets, Super AI, and advanced OCR frameworks. Your responsibilities will include training OCR models, optimizing performance, integrating with cloud-based OCR APIs, and ensuring high accuracy in document processing. To excel in this role, you should possess a minimum of 5+ years of experience in OCR-related projects. Your expertise in OCR technology, including Nanonets, Super AI, Tesseract, EasyOCR, and ABBYY, will be crucial. Proficiency in programming languages such as Python, TensorFlow, PyTorch, OpenCV, and Scikit-Learn is essential. Additionally, knowledge of Cloud OCR Services like AWS Textract, Google Vision API, and Azure OCR will be required. Your skills should extend to Database & API Integration using SQL, NoSQL, MongoDB, PostgreSQL, and RESTful APIs. Familiarity with performance optimization techniques such as image preprocessing, denoising, thresholding, and parallel processing is necessary. Experience in Automation & Deployment tools like Selenium, UiPath, Docker, and Kubernetes will be an added advantage. If you meet these requirements and are passionate about leveraging your expertise in Machine Learning OCR processing, we encourage you to share your CV with us at priyadharshini.r@g2tsolutions.com or reach out to us at 8754128555 / 8069299816.,