6 Xerox Jobs
6-8 years
Xerox - Artificial Intelligence Architect - NLP Solutions (6-8 yrs)
Xerox
posted 13d ago
Flexible timing
Key skills for the job
Job Title : AI Architect
CTC : 23 LPA
Experience : 8+ years
Locations : remote(Posted as Kochi)
JD for AI Architect :
- 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.
- 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
Functional Areas: Other
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