Azure AI Specialist

3 weeks ago


Lahore, Punjab, Pakistan LITS SERVICES - Microsoft Solutions Partner Full time

2 weeks ago Be among the first 25 applicants

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This individual will focus on the specialized AI components of both projects, particularly the configuration, training, and deployment of the machine learning models.

Job Summary:

The Azure AI Specialist will be responsible for the artificial intelligence components of our new automation initiatives. This role will focus on developing and managing custom AI models in Azure to support financial reconciliation and automate data extraction from documents. They will handle the end-to-end process of data preparation, model training, and providing a functional API endpoint for integration with the Power Platform.

Key Responsibilities:

  • Lead the configuration of Azure AI Document Intelligence by creating the necessary resources, endpoint URLs, and API keys.
  • Gather, prepare, and label sample delivery tickets from various suppliers to train a custom extraction model.
  • Train, test, and publish the custom Document Intelligence model, ensuring its accuracy for data extraction.
  • Develop and implement the Power Automate flow responsible for calling the Document Intelligence API and parsing the JSON response.
  • Design and implement the AI model for the reconciliation tool that provides intelligent matching suggestions based on historical data patterns.
  • Configure anomaly detection using Azure AI to proactively monitor transaction patterns and flag unusual activities.
  • Work with the Power Platform Developer to ensure seamless data flow between Power Automate and the Azure AI services.

Required Skills and Experience:

  • Expert: Azure AI Document Intelligence (formerly Form Recognizer), including building and training custom models.
  • Proficient: Azure AI and Machine Learning services.
  • Strong Experience: Working with REST APIs, including making HTTP POST/GET requests and parsing complex JSON responses.
  • Knowledge: Understanding of data labelling and the principles of training, testing, and publishing machine learning models.
  • Experience with scripting and data manipulation.
  • Familiarity with Power Automate, specifically its ability to integrate with external web services via the HTTP connector.
Seniority level
  • Seniority levelNot Applicable
Employment type
  • Employment typeFull-time
Job function
  • Job functionEngineering and Information Technology

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