AI Platform Deployment Intern — On-Site Client Training

Jobtailor; Fort Smith (AR); On-site; USD 37,000 - 52,000; Full time

Job description

• On-Site Deployment & Integration: Travel to client sites locally in NWA to lead technical deployment of the Naukr AI platform.
• Data Integration Support: Assist clients with initial data connection and pipeline setups, helping them automate the heavy "ETL" (Extract, Transform, Load) cleaning burden via our agentic layer.
• Client Onboarding & Training: Conduct live, hands-on training sessions for client data analysts, supply chain teams, and revenue managers to show them how to 'chat with data' and leverage our live data stories.
• Technical Troubleshooting: Diagnose and resolve platform configuration issues on-site, serving as the direct feedback loop between the client and our core engineering team.
• Adoption Tracking: Ensure client teams are actively utilizing our platform ensuring high adoption.

Requirements

• Current Arkansas state resident
• Ability to pass a standard background check
• Ability to work 32-40 hours a week, during and following the three-month internship
• Ability to work full-time in the United States without a current or future need for visa sponsorship
• High curiosity and interest in learning new technologies and growing or starting your IT career
• Technical aptitude exhibited through projects, experience, or online learning and the ability to communicate what you know

Core Competencies

Demonstrates strong technical aptitude and the ability to effectively communicate complex concepts to clients. Proficient in on-site deployment, data integration, and client training to ensure successful platform adoption.

Highest-signal resume keywords

• On-Site Deployment
• Data Integration
• ETL (Extract, Transform, Load)
• Client Training
• Technical Troubleshooting

ATS Optimization Keywords

Soft Skills

• High Curiosity
• Communication Skills

Industry Keywords

• Client Onboarding
• Platform Configuration
• Adoption Tracking
• Data Analysts
• Supply Chain Teams
• Revenue Managers