Lead the development and improvement of AI functions, focusing on extracting and structuring information from PDF documents.
About this role
QA Engineer for "Chemican", an AI that manages chemical risk-information documents (SDS) and is evolving into a risk platform that visualises and evaluates chemical risk (demand surging on SDGs and 2024 Industrial Safety and Health Act reforms; adopted by many large companies). Own two areas: quality-improvement (planning/executing improvements with PdM/engineers, developing quality standards/test processes, strengthening quality in agile/scrum, extracting and prioritising quality issues) and test design/execution (test planning, design, execution, result analysis, risk-based testing, defect analysis and recurrence prevention, KPI design/monitoring); later, help expand the QA organisation. Tokyo (Series B).
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