Tavia Technologies Limited @ 25

Azure AI / Document Intelligence Engineer

Hybrid - Full-Time

Are you ready to build the future of intelligent document processing?

Develop AI-driven document processing and data extraction solutions using Azure AI services.

Role Summary

We are hiring an experienced Azure AI / Document Intelligence Engineer on behalf of our client, a leading organisation in the financial services sector.

The successful candidate will join a major enterprise digital transformation programme, leveraging Microsoft Azure AI technologies to build intelligent, scalable and secure solutions for document classification, extraction, processing and information retrieval.

What You'll Do

  • Build, train and optimise Azure Document Intelligence (Form Recognizer) models, including prebuilt, custom and composed models.
  • Configure, test and optimise solutions using Document Intelligence Studio.
  • Develop document preprocessing, validation and exception-handling pipelines.
  • Integrate Azure OpenAI, Azure AI Search, Azure AI Vision (OCR) and Content Understanding.
  • Implement confidence scoring and monitor model performance and extraction accuracy.
  • Continuously improve and retrain models based on performance and business requirements.
  • Build scalable AI-powered document processing solutions suitable for enterprise and financial-services environments.
  • Collaborate with data, software, solution architecture and business teams to deliver production-ready AI solutions.

What We're Looking For

We are looking for someone with strong hands-on experience in Azure AI and intelligent document processing, ideally within a complex enterprise environment.

  • Azure Document Intelligence
  • 4–6 years' experience in AI/ML Engineering, with practical experience in intelligent document processing.
  • Strong hands-on expertise in Azure Document Intelligence / Form Recognizer and Document Intelligence Studio.
  • Experience with Azure OpenAI, Azure AI Search, Azure AI Vision (OCR) and Content Understanding.
  • Strong Python programming skills.
  • Good understanding of machine learning lifecycle management, model evaluation and optimisation.
  • Experience building and deploying scalable AI solutions in an enterprise environment.
  • Understanding of data security, governance and compliance within enterprise or regulated environments is an advantage.
  • Experience within banking, fintech, insurance or other financial-services environments is highly desirable.