Opportunity sourced from the Official SkillBridge website. Not endorsed by the Department of Defense.
The AI Programming and Machine Learning Intern within Grow Ministry’s Digital Out-of-Home (DOOH) division is responsible for designing, developing, and deploying intelligent systems that enhance media delivery, audience targeting, and operational automation. This role focuses on building scalable AI-driven solutions that improve engagement across digital signage networks, content distribution platforms, and ministry outreach initiatives.This position operates at the intersection of technology, media, and mission-driven impact, leveraging artificial intelligence to optimize messaging, automate workflows, and generate data-driven insights that expand reach and effectiveness.Apply / Work Within System:https://my.usaev.net/v2/preview/vZvbFocFnB7w23DyleMB
Core Responsibilities1. AI Model DevelopmentDesign and build machine learning models for audience targeting and behavioral predictionDevelop recommendation engines for content delivery across DOOH networksTrain models using structured and unstructured datasets2. Data Engineering and ProcessingCollect, clean, and organize datasets from CRM systems, social platforms, and DOOH analyticsBuild pipelines for real-time and batch data processingIntegrate APIs for external data sources3. Automation and Workflow IntegrationDevelop AI-powered automation tools for marketing, outreach, and internal operationsIntegrate machine learning models into CRM systems such as GoHighLevelSupport AI telephone systems, chatbots, and engagement tools4. Predictive Analytics and ReportingCreate forecasting models for campaign performance and audience engagementDevelop dashboards and reporting tools for leadership and department teamsAnalyze trends to improve ROI across media placements5. Content IntelligenceBuild AI systems that generate or optimize ad copy, messaging, and visualsSupport personalization of ministry messaging across digital screensImplement NLP models for sentiment analysis and audience feedback6. System IntegrationCollaborate with SaaS, Website, and CRM teams to embed AI solutionsEnsure compatibility across internal platforms such as Staff.SportsMedia.net and Slack trackingSupport secure data access and Google Drive integrationDaily Workflow ExpectationsDaily check-in via Slack channelTask updates logged in CRM and internal systemsCollaboration with Data Analytics, SaaS, and Marketing teamsParticipation in team standups and development meetingsContinuous documentation of code, models, and workflowsKey Performance Indicators (KPIs)Accuracy and performance of machine learning modelsReduction in manual processes through automationImprovement in campaign targeting and engagement ratesSpeed and efficiency of data processing pipelinesSuccessful integration of AI tools across departmentsRequired Skills and ToolsProgramming: Python, R, or JavaScriptFrameworks: TensorFlow, PyTorch, Scikit-learnData Tools: Pandas, NumPy, SQLAPIs and IntegrationsCloud Platforms: AWS, Google Cloud, or AzureVersion Control: GitHubLearning Outcomes and Career PathParticipants will gain hands-on experience building real-world AI systems within a national media and ministry network. This role prepares interns for advancement into:AI Systems EngineerMachine Learning EngineerData ScientistAI Product ManagerAutomation ArchitectTop performers may advance into team lead roles and receive:Certificate of AchievementCompletion LetterLetter of RecommendationProgram Structure IntegrationOnboarding: Guided through internal systems, datasets, and AI frameworksWeekly Training: Advanced AI, automation, and system integration sessionsTuesday Orientation: Alignment with new team members and leadershipOffboarding: Final project submission, review, and certification processMission AlignmentThis role supports Grow Ministry’s mission by leveraging AI to expand outreach, improve communication effectiveness, and create scalable systems that amplify impact across communities, organizations, and digital environments.
professional development track, minimum 90 days and maximum 180 days.Approved participation in the Department of Defense SkillBridge program.Must receive permission from their command to participate.Ability to attend mandatory company meetings on scheduled days.Strong creativity, problem solving, and collaboration sk
All MOCs
US Air Force, US Army, US Coast Guard, US Marine Corps, US Navy, US Space Force
Must have a reliable desktop or laptop computer.This program is available to veterans.This program is available to National Guard members.This program is available to military spouses.
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