Data Scientist / OCR specialist

About the job Data Scientist / OCR specialist

Job overview:

• Location: Fully remote, EU timezone (CET +/- 2hours)
• Start date: ASAP
• Experience: Minimum 5 years
• Languages: French is mandatory
• Our client: Saas building an MVP with OCR technology

Job Summary:

The ideal candidate will be responsible for designing, developing, and implementing OCR solutions to extract text and data from images and documents. This role requires expertise in OCR technologies and a strong programming background.

Job Responsibilities:

1. Development of OCR Algorithms:

• Design and implement OCR algorithms to accurately extract text and data from various sources like images and scanned documents.
• Optimize algorithms for speed, accuracy, and reliability.

Integration with Applications:

• Integrate OCR solutions with existing applications and systems to automate data extraction processes.
• Collaborate with software developers to ensure seamless integration of OCR functionalities.

Selection of OCR Tools:

• Evaluate and choose appropriate OCR tools and libraries based on project requirements.
• Stay updated on the latest OCR technologies and tools in the industry.

Training and Testing:

• Train OCR models using machine learning techniques to enhance recognition accuracy.
• Conduct thorough testing and validation of OCR solutions to ensure high precision and recall rates.

Customization and Configuration:

• Customize OCR solutions to meet specific project requirements and handle various document formats.
• Configure OCR parameters for optimal performance in different scenarios.

Performance Optimization:

• Optimize OCR solutions for performance, scalability, and resource efficiency.
• Implement parallel processing and other techniques to improve processing speed.

Documentation:

• Create and maintain comprehensive documentation for OCR algorithms, configurations, and integration procedures.
• Provide documentation for troubleshooting and support purposes.

Qualifications:

• Bachelor degree in Computer Science, Software Engineering, or a related field.
• Proven experience in developing OCR solutions, including algorithm design and integration.
• Strong programming skills in languages like Python, Java, or C++.
• Knowledge of OCR libraries and frameworks such as Tesseract, ABBYY, Google Cloud Vision API.
• Understanding of machine learning concepts related to OCR is a plus.
• Familiarity with image processing techniques and formats.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.