Job Description :
Key Responsibilities :
- Model Development : Design, develop, and implement Document AI models to extract, categorize, and interpret unstructured data from documents such as PDFs and scanned images.
- OCR Implementation : Utilize Optical Character Recognition (OCR) technologies to convert images and
scanned documents into machine-readable text.
Automation : Establish automated pipelines to enhance the document processing workflow, coveringingestion, extraction, and validation stages.
Cross-Functional Collaboration : Work alongside product management, development, and operations teams to integrate Document AI solutions into existing applications seamlessly.Performance Enhancement : Focus on improving model performance and accuracy, ensuring that solutions are scalable and efficient.Trend Monitoring : Stay updated on the latest developments in Natural Language Processing (NLP) and AI tools pertinent to document understanding.Requirements :
Experience : Minimum of 5 years of experience, with at least 3 years in applying machine learning and statistical algorithms (Decision Trees and K-Nearest Neighbors preferred).Programming Skills : Strong hands-on experience with Python, SQL.Machine Learning Frameworks : Familiarity with frameworks such as TensorFlow, scikit-learn, PyTorch, and other related technologies.Data Visualization : Knowledge with data visualization platforms like Power BI.Database Management : Solid understanding with MongoDBProblem-Solving : Proven track record of efficiently solving complex AI / ML problems.Analytical Thinking : Strong analytical skills with a creative approach to problem-solving.Team Collaboration : Ability to effectively collaborate across multidisciplinary teams.ref : hirist.tech)