We’re looking for a skilled AQA Engineer to join our team. The project focuses on document processing and automation. This is a great opportunity for someone passionate about AI technologies and eager to contribute to a fast-moving, innovative project Key Responsibilities * 4+ years of experience * Backend Validation: Verify system execution by checking data persistence in Databases and file storage/retrieval in AWS S3. * AQA Development: Design, write, and maintain automated test scripts using Python to validate document processing pipelines. * Manual Testing: Conduct thorough manual testing of documentation processing modules to identify edge cases. * Execution Tracking: Monitor system logs and execution flows to ensure high-performance standards and data accuracy. * Collaborative Quality: Work closely with Developers and Data Scientists to troubleshoot inconsistencies and improve model reliability. * Documentation: Maintain clear test cases and track bugs through the full lifecycle using standard industry tools.
Requirements * Automation Expertise: Proven experience in Software Quality Assurance with a strong focus on Automation (AQA). * Language: High proficiency in Python for test automation and data validation scripts. * Technical Literacy: Ability to read and understand technical documentation and architectural diagrams. * Storage & DB: Hands-on experience with AWS S3 and standard SQL/NoSQL databases (verifying if the execution actually happened). * Analytical Skill: Strong attention to detail, specifically regarding data accuracy in document processing.
Nice to Have (Plus) * Graph Databases: Experience with Graph DBs (e.g., Neo4j, AWS Neptune) is a significant plus but not mandatory. * AI/OCR Experience: Previous work with AI-related projects, specifically involving OCR or NLP. * Contract Experience: Ability to hit the ground running in a fast-paced, 3-month project environment.
