Job description

Overview

Aperta is seeking a skilled Machine Learning Engineer to enhance its automated document processing solutions in the financial industry. This role focuses on designing and fine-tuning Intelligent Character Recognition (ICR) models for financial documents.

Company Details

Aperta is a leading provider of payment and image processing solutions, serving financial institutions, government agencies, and businesses globally. With expertise in payment processing and financial systems, Aperta delivers secure, innovative, and robust solutions.

Requirements

Bachelor's or Master’s degree in Computer Science, or a related field.
Minimum 5 years of experience in developing and fine-tuning ML models.
Expertise in OCR/ICR technologies and deep learning frameworks (TensorFlow, PyTorch).
Strong knowledge of deep learning architectures (CNNs, RNNs, Transformers).
Proficiency in Python, Java, C++, and image processing libraries (OpenCV, Pillow).
Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
Prior experience working with financial documents is highly desirable.

Responsibilities

Design and fine-tune machine learning models for OCR/ICR on financial documents.
Implement pre-processing techniques like noise reduction and skew correction.
Develop data augmentation strategies to improve model robustness.
Evaluate different model architectures and select optimal approaches.
Integrate trained models into the document processing pipeline.
Monitor and retrain models to maintain accuracy and adapt to evolving document formats.
Stay updated with advancements in OCR/ICR and machine learning research.
Contribute to internal tools for model training, evaluation, and deployment.

Job Details