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Document Automation Engineer
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About the companyIDS (Integrated Digital Solutions) is a consulting firm specializing in enterprise technology projects, cloud architecture, and AI/ML implementations. We empower businesses with innovative solutions in financial services, DevOps, and digital transformation. Join our dynamic team to drive cutting-edge AI applications that deliver real business value.Job Summary:The Document Automation Engineer specializes in Automation Anywhere's Document Automation capabilities within the Automation 360 platform to extract, validate, and process data from structured, semi-structured, and unstructured documents like invoices, contracts, and forms. This role focuses on integrating AI-powered Intelligent Document Processing (IDP) with RPA bots to automate workflows in finance, HR, compliance, and customer onboarding.Key Responsibilities:- Develop and deploy Document Automation learning instances to extract data from PDFs, images, handwriting, barcodes, and tables using generative AI and OCR.- Use Document Extraction package actions (Extract Data, Get Document Data, Update Document Data, Download Data) to integrate extracted data into RPA bots and enterprise systems like CRM or ERP.- Create, train, and manage document models for 1000+ variations, handling validation, fuzzy logic, and custom workflows across 190 languages.- Analyze business processes for automation opportunities, troubleshoot extraction accuracy, and optimize for high-volume processing.- Collaborate with stakeholders to preprocess documents, flag low-confidence fields for human review, and embed data into end-to-end workflows.Required Qualifications:- 2–4 years of hands-on experience with Automation Anywhere A360, particularly Document Automation- Proficiency in Document Extraction package, learning instance creation, and GenAI-enhanced features for tables and unstructured data.- Strong knowledge of AI/ML for IDP, including data formats (JSON, CSV, XML), APIs, and integrations with Automation Co-Pilot.youtube- Experience with SQL databases, scripting (e.g., JavaScript/Python), and common use cases like invoice processing or claims handling.- Bachelor’s degree in Computer Science, IT, or related field; proven problem-solving in production environments.Preferred Skills:- Familiarity with cloud deployments (Automation 360), GenAI for complex extractions (e.g., tracking numbers, policy documents), and compliance workflows.- Exposure to OCR providers, SDKs, or hybrid document processing (vector/raster PDFs, TIFF, PNG).- Version control (Git) and CI/CD for bot deployment
