Data Scientist Job in Xerox

Purpose: Responsible for functions, activities, and skills required for analysis, design, coding, integration, test & maintenance of Intelligent Document Processing modules and systems. Build NLP based solutions for query and document analysis, processing, information extraction and document classification, context-based information retrieval. Conduct research to advance the state-of-the-art Deep learning and NLP technologies. General Builds knowledge of the organization, processes and customers Requires knowledge and experience in own discipline; still acquiring higher level knowledge and skills Receives a moderate level of guidance and direction Moderate decision-making authority guided by policies, procedures, and business operations protocol. Technical Skills Proficiency and experience working in the technical area of Intelligent Document Processing. Digitization, OCR/ICR/OMR, Document Classification Methodologies, Intent classification, Context/sematic based classification, Data Extraction Methodologies. Prior knowledge of Deep Learning, Machine Learning, NLP. Quality enhancement of image, document through image processing. Object classification and recognition. Experience in the text processing, intent classification, name entity recognition. Experience in building AI models using libraries such as TensorFlow, Keras, PyTorch. Experience with REST API development, Microservices based architecture, RDBMS design and Optimization. Closely Work with Business Analyst, QA and should be able to prepare technical design document & implement automated deployment. Understanding and Practice of AGILE Methodologies. Proficiency and experience in working as part of the Software Development Lifecycle (SDLC) using Code Management & Release Tools (MS DevOps, Github, Team Foundation Server) Required: Proficiency and experience working with Relational Databases and SQL Scripting (MS SQL Server) Clear understanding of one of the OCR tools such as Abbyy/Kofax. Experience/Proficiency in Python development language. Experience in working as part of a development team but able to progress solo projects. Experience in Cloud Infrastructure (Azure/AWS/GCP). Above average verbal, written and presentation skills. Shows a systematic, analytical approach to problem solving. Takes initiative to keep own and skills up to date and to maintain awareness of and, in own area(s) of expertise.