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