On our project we need ML Engineer, who worked with Azure before

Hi, I’m an AI & Full Stack Engineer with 9+ years building production ML systems in Python, focused on LLMs, OCR, and cloud deployments. I’m excited by your automated invoice processing system that combines OCR, LLM parsing, and human-in-the-loop validation. The mix of document AI plus validation to keep accuracy high really stands out, and I like that you’re shipping in imperfect infra with custom pipelines. One idea: add a confidence-driven routing layer that scores OCR+LLM outputs and routes only low-confidence or high-risk invoices to human review. Combine token-level confidence, semantic retrieval score, and simple rule checks to create a prioritized review queue and auto-labeling for high-confidence cases. This would cut human workload, speed throughput, and feed targeted training data back into the models. At DuploCloud I built RAG and OCR pipelines, fine-tuned LLMs, and implemented human-in-the-loop flows that reduced manual validation by ~27% and improved automation throughput by 35%. I also deployed inference microservices and CI/CD on Azure, cutting release time by ~40%, so I can help turn prototypes into reliable production services in your stack. I’d love to chat about applying this confidence-routing idea and helping ship your invoice pipeline. Best Regards, James Yarris Feel free to reach out to me (james.yarris@proton.me)