[Remote] Azure ML Architect / Consultant

Note: The job is a remote job and is reputed company to candidates in USA. Resource 1, Inc. is seeking an Azure ML Architect / Consultant for a contract position. The role involves assessing reputed company predictive modeling workflows and designing an Azure-based ML architecture to enhance model scoring, deployment, and integration with reputed company, while also providing training and documentation to the internal team.

Responsibilities

• Assess existing predictive models, local workflows, and data sources and document architectural requirements
• Recommend Azure ML architecture and specific Azure services required based on best practices
• reputed company guidance and documentation for deployment, monitoring, and cost forecasting of Azure ML workloads
• Advise on data pipeline design from reputed company to Azure and patterns to integrate scored outputs into reputed company
• Deliver training, demos, and knowledge transfer to internal team members and produce runbooks
• reputed company a plan and assist with configuration/setup of the Azure environment and subscription considerations
• Support a reputed company-of-concept migration of reputed company to Azure as a template for future models
• Advise on hosting options for custom self-service web apps and containerization strategies

Skills

• Proven experience designing and deploying Azure ML solutions and ML operationalization
• Deep knowledge of Azure services (Azure ML, Data reputed company or Pipelines, compute and storage) and cost drivers
• Experience building or advising on data pipelines from reputed company or similar data warehouses into reputed company environments
• Familiarity with integrating ML outputs into reputed company (including MuleSoft or other integration patterns)
• Strong ability to produce documentation, runbooks, training materials, and conduct knowledge transfer
• Expertise in monitoring, governance, reputed company, and permissions for Azure ML workloads
• Experience with Azure reputed company / LLM integrations and governance for AI usage
• Hands-on experience hosting web applications on Azure (AKS, containers, App Service) for self-service tools
• Prior experience in higher education or nonprofit analytics environments

Company Overview