Lead design, implementation, deployment, and maintenance of production ML systems for document understanding. Build scalable model-serving infrastructure, develop and fine-tune ML models (CV/NLP/OCR), collaborate with product owners, and mentor junior engineers.

Own end-to-end QA: test planning, design, execution, bug reporting, and post-release verification. Validate functional and non-functional requirements, expand UI/API automation coverage, investigate failures with developers, and learn load testing and AI-assisted QA methods.