Overview
Remote
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 6 Month(s)
No Travel Required
Unable to Provide Sponsorship
Skills
.NET
Artificial Intelligence
C#
Machine Learning (ML)
Microsoft Azure
Job Details
Position: Microsoft Azure Foundry Developer with AI
Location: Remote
We are seeking a Microsoft Azure Foundry Developer with hands-on experience in AI-driven document extraction and .NET-based frontend development. This role will focus on building and deploying intelligent document processing applications on the Azure platform, integrating cutting-edge AI/ML models with enterprise-grade .NET solutions.
Key Responsibilities:
Required Qualifications:
Preferred Skills:
Location: Remote
We are seeking a Microsoft Azure Foundry Developer with hands-on experience in AI-driven document extraction and .NET-based frontend development. This role will focus on building and deploying intelligent document processing applications on the Azure platform, integrating cutting-edge AI/ML models with enterprise-grade .NET solutions.
Key Responsibilities:
- Design, develop, and deploy solutions on Microsoft Azure Foundry using Azure services such as Azure Cognitive Services, Form Recognizer, and Azure OpenAI for intelligent document extraction and processing.
- Implement and integrate AI/ML models for data extraction, classification, and validation workflows.
- Develop front-end applications and user interfaces using .NET technologies (e.g., ASP.NET Core, Blazor, MVC).
- Collaborate with data engineers, AI specialists, and business stakeholders to define and deliver end-to-end document automation pipelines.
Required Qualifications:
- Bachelor's degree in computer science, Information Systems, or related field.
- 4+ years of experience in .NET application development (C#, ASP.NET
- Core, MVC, Web API).
- 2+ years of hands-on experience with Microsoft Azure (Azure Foundry, Functions, Logic Apps, Storage, Key Vault, etc.).
- Strong knowledge of AI/ML-based document processing tools, such as:
- Azure Form Recognizer
- Document Intelligence
- Cognitive Search or OpenAI integrations
- Familiarity with RESTful APIs, JSON, and cloud-native architectures.
- Experience in CI/CD pipelines using Azure DevOps or GitHub Actions.
- Solid understanding of security best practices in Azure deployments.
Preferred Skills:
- Exposure to Power Platform (Power Automate, Power Apps) and Azure Synapse.
- Experience with containerization (Docker, Kubernetes).
- Working knowledge of Python for AI/ML integration.
- Familiarity with Agile/Scrum methodologies
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