AI Engineer

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, 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 in .NET (C#, VB, C++, Java) Python development languages