IT Specialist (AI)

Centers for Medicare & Medicaid Services; United States; Sur place; USD 90 000 - 120 000; Plein temps

Résumé du poste

The Centers for Medicare & Medicaid Services (CMS) Office of Information Technology seeks an IT Specialist (AI), GS-2210-13, to build platforms that streamline the end-to-end AI/ML lifecycle, manage resources, automate workflows, and ensure compliance and governance.

Applicants should have strong competencies in attention to detail, customer service, communication, and problem solving, with experience guiding AI/ML implementations and deploying models in production while monitoring performance

Qualifications

• Attention to detail demonstrated in work and thoroughness in tasks.
• Customer Service: engage with clients and stakeholders to assess needs and provide information or assistance; ensure quality outcomes.
• Oral Communication: clearly present information to diverse audiences and respond to questions appropriately.
• Problem Solving: identify problems, assess relevance and accuracy of information, and evaluate alternatives.

Connaissances

Attention to Detail

Customer Service

Oral Communication

Problem Solving

Description du poste

This position is located in the Department of Health & Human Services (HHS), Centers for Medicare & Medicaid Services (CMS), Office of Information Technology (OIT). As an IT Specialist (AI), GS-2210-13, you will build platforms that streamline the end-to-end Artificial Intelligence/Machine Learning lifecycle, manage resources, automate workflows, and ensure compliance and governance.

ALL QUALIFICATION REQUIREMENTS MUST BE MET BY THE CLOSING DATE OF THIS ANNOUNCEMENT. Your resume (limited to no more than 2 pages) must include detailed information as it relates to the responsibilities and specialized experience for this position. Evidence of copying and pasting directly from the vacancy announcement without clearly documenting supplemental information to describe your experience will result in an ineligible rating. This will prevent you from being considered further.

Basic Requirement:

You must have IT-related experience demonstrating each of the four competencies listed below:

• 1. Attention to Detail - is thorough when performing work and conscientious about attending to detail;
• 2. Customer Service - Works with clients and customers (that is, any individuals who use or receive the services or products that your work unit produces, including the general public, individuals who work in the agency, other agencies, or organizations outside the Government) to assess their needs, provide information or assistance, resolve their problems, or satisfy their expectations; knows about available products and services; is committed to providing quality products and services;
• 3. Oral Communication - Expresses information (for example, ideas or facts) to individuals or groups effectively, taking into account the audience and nature of the information (for example, technical, sensitive, controversial); makes clear and convincing oral presentations; listens to others, attends to nonverbal cues, and responds appropriately;
• 4. Problem Solving - identifies problems; determines accuracy and relevance of information; uses sound judgment to generate and evaluate alternatives, and to make recommendations.

In order to qualify for the GS-13, you must meet the following:

You must demonstrate in your resume at least one year (52 weeks) of qualifying specialized experience equivalent to the GS-12 grade level in the Federal government, obtained in either the private or public sector, to include:

• 1. Evaluating Artificial Intelligence (AI) use cases, developing implementation best practices, or supporting adoption of AI solutions across development teams to improve efficiency and program operations;
• 2. Facilitating discussions with product owners and business stakeholders to analyze program requirements, identify opportunities for Artificial Intelligence/Machine Learning (AI/ML) solutions, or developing mission-aligned approaches that improved business operations and supported cost-effective outcomes;
• 3. Providing technical guidance to data engineering teams (including contractors and vendors) on the design, implementation, maintenance, or improvement to support machine learning lifecycle management;
• 4. Assisting with deploying AI/ML models into production environments and monitoring model performance and compliance throughout the model lifecycle

Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills, and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.