Software engineer at SaralX

Responsibilities

• Develop and maintain the Document Analysis Engine, ensuring its accuracy, efficiency, and reliability.
• Collaborate with cross-functional teams to understand requirements and translate them into software solutions.
• Implement algorithms and data structures to effectively analyze and extract information from documents.
• Research and explore new approaches, techniques, and technologies related to document analysis, computer vision, deep learning, and natural language processing (NLP).
• Continuously optimize the Document Analysis Engine to enhance performance and scalability.
• Debug and resolve software defects, ensuring high-quality deliverables.
• Participate in code reviews to maintain code quality and adherence to best practices.
• Stay updated with the latest advancements in document analysis and related fields.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related field. A Master's degree is a plus.
• Strong command over data structures and algorithms.
• Research aptitude with the ability to explore and implement innovative solutions.
• Solid programming skills in languages such as Python, JavaScript, or node.js.
• Experience in document analysis, computer vision, deep learning, or NLP is highly desirable.
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
• Proficiency in working with libraries and tools related to document analysis, such as Tesseract, OpenCV, Apache PDFBox and similar libraries.
• Strong problem-solving abilities and attention to detail.
• Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.
• Ability to work independently, manage priorities, and deliver high-quality results within deadlines.