Lead AI/ML Engineer (DocAI) - R01557619

Primary Skills

• Problem Formulation (Business problem to Data Science Problem), OKR Validation against statistical measures, Data Wrangling, Data Storytelling & Insight Generation, Problem Solving, Excel VBA, Data Curiosity, Technical Decision Making (How many iterations to go for vs when to stop iterating), Communication & Articulation: Vocal & Written, Business Acumen (Consume new domains quickly to learn through data), Design Thinking, Data Literacy

Job requirements

Job Title: Document AI Engineer

• -
• 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

• Strong hands-on experience with Google Cloud Platform, especially: o Document AI o Cloud Storage o IAM o Vertex AI (preferred)
• Proficient in Python, including Google Cloud SDK libraries
• Familiarity with OCR, and schema-based information o Cloud Functions / Cloud Runextraction
• Understanding of security best practices for handling financial documents -

• - Preferred Qualifications ·
• Previous projects involving invoice or document parsing
• Familiarity with BigQuery for analytics/reporting