Office of the National Coordinator for Health Information Technology (ONC) · 5 hours ago
IT Specialist (AI)
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Responsibilities
Serves as a technical thought leader to shape strategies and advises stakeholders on projects and initiatives related to AI and machine learning.
Performs quantitative analysis, machine learning, and statistical modeling to analyze data and solve problems.
Explores innovative research to gain the technical edge required for projects.
Performs testing, evaluation, verification, and validation on AI solutions to ensure they are developed to be and remain robust, resilient, responsible, secure, and trustworthy; and communicates results and concerns to stakeholders.
Serves as an agency subject matter expert in AI technologies.
Contributes to formulation of Information Technology (IT) policies, procedures, and technical guidance necessary for the implementation of agency AI systems that may have an impact on bargaining unit employees.
Uses their hands-on experience in data analysis, natural language processing, computer vision, and/or machine learning to deliver products that support agency priorities.
Identifies AI solutions that leverage AI or other emerging technologies to support federal and/or agency priorities.
Evaluates and recommends adoption of new, improved, or enhanced AI approaches to delivering IT services.
Leverages in-depth knowledge and understanding of various AI techniques, algorithms, and methodologies with proficiency in programming languages and familiarity with AI frameworks to deliver technical products.
Provides technical guidance to agency staff on AI system development, integration issues, and utilization.
Analyzes and understands user and data requirements, data interrelationships, and environmental needs specific to AI.
Qualification
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Required
Lead projects that use Artificial Intelligence (AI) to support business intelligence from ideation through deployments.
Serve as a technical expert in the design and development of systems capable of performing tasks that include the use of machine learning and natural language processing.
Create, deliver, and maintain algorithms, large language models and systems that can process and analyze data used to make intelligent decisions or predictions.
Serve as a technical thought leader to shape strategies and advise stakeholders on projects and initiatives related to AI and machine learning.
Perform quantitative analysis, machine learning, and statistical modeling to analyze data and solve problems.
Explore innovative research to gain the technical edge required for projects.
Perform testing, evaluation, verification, and validation on AI solutions to ensure they are developed to be and remain robust, resilient, responsible, secure, and trustworthy.
Communicate results and concerns to stakeholders.
Serve as an agency subject matter expert in AI technologies.
Contribute to formulation of Information Technology (IT) policies, procedures, and technical guidance necessary for the implementation of agency AI systems.
Use hands-on experience in data analysis, natural language processing, computer vision, and/or machine learning to deliver products that support agency priorities.
Identify AI solutions that leverage AI or other emerging technologies to support federal and/or agency priorities.
Evaluate and recommend adoption of new, improved, or enhanced AI approaches to delivering IT services.
Leverage in-depth knowledge and understanding of various AI techniques, algorithms, and methodologies.
Demonstrate proficiency in programming languages and familiarity with AI frameworks to deliver technical products.
Provide technical guidance to agency staff on AI system development, integration issues, and utilization.
Analyze and understand user and data requirements, data interrelationships, and environmental needs specific to AI.
Company
Office of the National Coordinator for Health Information Technology (ONC)
The Office of the National Coordinator for Health Information Technology (ONC) is the lead agency charged with formulating the federal government’s health IT strategy and coordinating federal health IT policies, standards, programs, and investments.