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Technology Consultant - Data & AI
Reston, VA
Job Description
OverviewWe are looking to hire a Technology Consultant - Data & AI to join Microsoft Federal. Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Growth mindset encourages each of us to lean in and learn what matters most to our customers, to create the foundational knowledge that enables us to make customer-first decisions in everything we do. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us achieve our mission. The Microsoft Federal organization was established to address the unique mission, legal/regulatory requirements, and procurement rules and processes of the United States Government (USG). Microsoft Federal is committed to ensuring its resources - including appropriately qualified, experienced, and certified personnel (with necessary security clearances or otherwise) are available as needed to meet USG evolving needs. To that end, Microsoft embraces, as a mission-critical philosophy, flexibility in the recruiting, hiring, and workforce assignment of Microsoft Federal personnel. Microsoft Federal personnel can expect to serve in various roles in the Microsoft Federal organization during the course of their career to meet evolving USG needs, regardless of segment - Civilian, Defense, or intelligence community.
ResponsibilitiesDemonstrates the ability to articulate value propositions for the most strategic Microsoft products and servicesUses business, technology, and industry strategies to define customer/partner requirements and constraintsDemonstrates expertise in a specific solution, or several products, feature functions, or services and drives opportunities to accelerate the adoption of the Microsoft CloudDrives and Supports innovation focusing on industry solutions and customer business outcomes on the Microsoft platformEnsure solutions align with the intent of the architecture allowing for clear build test specifications and development of operations guides for the customerIdentifies business and technical risks in programs, assesses their impact, and proposes mitigations and contingenciesProvides stakeholder assistance throughout deployment to avoid/resolve technical issuesBalances Configure-Before-Customize principles with the goals of maximum customer/partner value and with the use of Microsoft core/baseline assets, people, products, and toolsDevelops project plans that use the full project life cycle accounting for current & future business value of each solution while defining all technical dependencies for projectWork closely with customers and third party contractors to develop solutions. Articulate complex architectures to clients in clear, descriptive manner to help them comprehend and approve work done for the department.Demonstrates the ability to directly implement solutions involving Microsoft Data, Machine Learning, and Artificial Intelligence technologies Design and implement robust, scalable, and efficient data pipelines using Azure Synapse, Azure Databricks, and other Azure services. Develop and maintain data models and databases within Azure SQL Database, Azure Cosmos DB, or other Azure storage services. Implement machine learning models into production using Azure Machine Learning Service and Azure Kubernetes Service. Monitor and manage machine learning model performance and data quality. Collaborate with data scientists and business stakeholders to translate business requirements into technical solutions. Ensure compliance with data governance and security policies. Continuously evaluate new Azure services and tools to enhance the capability of the data engineering and MLOps infrastructure. Integrating code with existing services in Azure, such as OpenAI, Azure Search, and other cognitive services OtherEmbody our culture and values
ResponsibilitiesDemonstrates the ability to articulate value propositions for the most strategic Microsoft products and servicesUses business, technology, and industry strategies to define customer/partner requirements and constraintsDemonstrates expertise in a specific solution, or several products, feature functions, or services and drives opportunities to accelerate the adoption of the Microsoft CloudDrives and Supports innovation focusing on industry solutions and customer business outcomes on the Microsoft platformEnsure solutions align with the intent of the architecture allowing for clear build test specifications and development of operations guides for the customerIdentifies business and technical risks in programs, assesses their impact, and proposes mitigations and contingenciesProvides stakeholder assistance throughout deployment to avoid/resolve technical issuesBalances Configure-Before-Customize principles with the goals of maximum customer/partner value and with the use of Microsoft core/baseline assets, people, products, and toolsDevelops project plans that use the full project life cycle accounting for current & future business value of each solution while defining all technical dependencies for projectWork closely with customers and third party contractors to develop solutions. Articulate complex architectures to clients in clear, descriptive manner to help them comprehend and approve work done for the department.Demonstrates the ability to directly implement solutions involving Microsoft Data, Machine Learning, and Artificial Intelligence technologies Design and implement robust, scalable, and efficient data pipelines using Azure Synapse, Azure Databricks, and other Azure services. Develop and maintain data models and databases within Azure SQL Database, Azure Cosmos DB, or other Azure storage services. Implement machine learning models into production using Azure Machine Learning Service and Azure Kubernetes Service. Monitor and manage machine learning model performance and data quality. Collaborate with data scientists and business stakeholders to translate business requirements into technical solutions. Ensure compliance with data governance and security policies. Continuously evaluate new Azure services and tools to enhance the capability of the data engineering and MLOps infrastructure. Integrating code with existing services in Azure, such as OpenAI, Azure Search, and other cognitive services OtherEmbody our culture and values
Job Summary
Company
Start Date
As soon as possible
Employment Term and Type
Regular, Full Time
Required Experience
Open
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