AI Architect

About Xerox Holdings Corporation
For more than 100 years, Xerox has continually redefined the workplace experience. Harnessing our leadership position in office and production print technology, weve expanded into software and services to sustainably power todays workforce. From the office to industrial environments, our differentiated business solutions and financial services are designed to make every day work better for clients no matter where that work is being done. Today, Xerox scientists and engineers are continuing our legacy of innovation with disruptive technologies in digital transformation, augmented reality, robotic process automation, additive manufacturing, Industrial Internet of Things and cleantech. Learn more at www.xerox.com and explore our commitment to diversity and inclusion.
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, LLM, Classification Methodologies, Data Extraction Methodologies, ML, AI, DL, NLP etc)
• Experience in the design & development of highly scalable templates and training documents on IDP for efficient data extraction from semi/un-structured pdf or images.

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  Experience in Docker and flask APIs.
• Must have experience with Redis and Celery.
• Closely Work with Solution Architects/Team leads 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)
• Proficiency and experience working with Relational Databases and SQL Scripting (MS SQL Server)
• Clear understanding of Architecture and infra requirement and setup
• Useful: Experience/Proficiency Python