Lead AI/ML Engineer
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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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