[Remote] Azure ML Architect / Consultant
Note: The job is a remote job and is open to candidates in USA. Resource 1, Inc. is seeking an Azure ML Architect / Consultant for a contract position. The role involves assessing current predictive modeling workflows and designing an Azure-based ML architecture to enhance model scoring, deployment, and integration with Salesforce, 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
- Provide guidance and documentation for deployment, monitoring, and cost forecasting of Azure ML workloads
- Advise on data pipeline design from Oracle to Azure and patterns to integrate scored outputs into Salesforce
- Deliver training, demos, and knowledge transfer to internal team members and produce runbooks
- Develop a plan and assist with configuration/setup of the Azure environment and subscription considerations
- Support a proof-of-concept migration of one model 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 Factory or Pipelines, compute and storage) and cost drivers
- Experience building or advising on data pipelines from Oracle or similar data warehouses into cloud environments
- Familiarity with integrating ML outputs into Salesforce (including MuleSoft or other integration patterns)
- Strong ability to produce documentation, runbooks, training materials, and conduct knowledge transfer
- Expertise in monitoring, governance, security, and permissions for Azure ML workloads
- Experience with Azure OpenAI / 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
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