Machine Learning OCR Processor
Job Description
Machine Learning OCR Processor
Experience: 5+ years
Domain: Machine Learning / OCR / Document AI
Focus: OCR model training, optimization, cloud integration and document processing
Key Responsibilities
Train and optimize OCR/ML models for high-accuracy document processing.
Integrate cloud-based OCR APIs.
Improve OCR accuracy and processing performance.
Work with document-image preprocessing and automation.
Develop database and REST API integrations.
Support deployment and scalable OCR processing environments.
Required Technical Skills
OCR Technologies
Nanonets
Super AI
Tesseract
EasyOCR
ABBYY
ML / Computer Vision
Python
TensorFlow
PyTorch
OpenCV
Scikit-learn
Cloud OCR
AWS Textract
Google Vision API
Azure OCR
Database & APIs
SQL / NoSQL
MongoDB
PostgreSQL
REST APIs
Performance Optimization
Image preprocessing
Denoising
Thresholding
Parallel processing
Additional Advantage
Selenium
UiPath
Docker
Kubernetes
Best-Fit Profile
This is a specialized OCR/Document AI role, best suited to an ML Engineer or Computer Vision Engineer with 5+ years of hands-on OCR project experience. Candidates with strong exposure to Tesseract/Nanonets/ABBYY + Python/OpenCV + cloud OCR services would be particularly relevant.
Apply: priyadharshini.r@g2tsolutions.com
Contact: 8754128555 / 8069299816