Job Title: Document AI Engineer

Experience: 5 to 8 Years

Notice Period: Immediate to 15 Days

Job Location: Pune/Chennai (Hybrid)

Key Responsibilities
- Design, deploy and maintain automated invoice extraction pipelines using GCP Document AI.
- Develop custom model training workflows for documents with non-standard formats.
- Preprocess and upload document datasets to Cloud Storage.
- Label documents using DocAI Workbench or JSONL for training.
- Train and evaluate custom processors using AutoML or custom schema definitions.
- Integrate extracted data into downstream tools (e.g., BigQuery, ERP systems).
- Write robust, production-grade Python code for end-to-end orchestration.
- Maintain CI/CD deployment pipelines




- Ensure secure document handling and compliance with data policies.

Required Skills & Experience
- Solid hands-on experience with Google Cloud Platform, especially:
- Document AI
- Cloud Storage
- IAM
- Vertex AI (preferred)
- Cloud Functions / Cloud Run
- Proficient in Python, including Google Cloud SDK libraries
- Familiarity with OCR, and schema-based information extraction
- Understanding of security best practices for handling financial documents

Preferred Qualifications:
- Previous projects involving invoice or document parsing

-
Familiarity with BigQuery for analytics/reporting

📌 Document AI Engineer (Chennai)
🏢 TalentOla
📍 Chennai