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Posted 5 days ago

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AI Operations Intern - Naukr AI

Bentonville, ARHybrid

AI Summary

A Customer Success Engineer - Deployment Intern supports the deployment, integration, and onboarding of Naukr AI’s autonomous data science platform for enterprise clients, traveling to client sites in NWA.

About this role

Apprenticely is working with our company partner, the Naukr Ai to add a Customer Success Engineer - Deployment Intern to their team in Bentonville, Arkansas!
Our Apprenticely Internship Program is a three-month program (working 32-40 hours a week) that places selected candidates with employers across Arkansas in IT positions to gain experience under the guidance of a professional mentor/IT support team. Internships are designed as an on-ramp to an IT career and can roll into full-time positions based on employer demand.
About the Employer:

Naukr.ai — Your AI Data Scientist
We are building a Generative AI Operating System for Data Science that transforms how organizations interact with their data.

Microgcc is an Enterprise AI SaaS company building and deploying the Naukr AI Enterprise AI Data Scientist platform. Our platform develops and deploys autonomous data science and insights reporting agents that replace manual, offshore-heavy data engineering models. We deliver insights faster, better, and cheaper by bypassing legacy data processing bottlenecks.

Naukr.AI is replacing & augmenting Human Data Scientists with Agents.

About the Role:

As a Customer Success Engineer Intern, you will bridge the gap between our autonomous product and live human execution. You will step onto the front lines at client offices, Global Capability Centers (GCCs),and partner agencies to manage platform deployment, integrate data pipelines, and train enterprise teams to shift from spreadsheets to autonomous AI agents.

Core Responsibilities
• 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.

Qualifications of an ideal candidate:

  • Data Literacy: Basic understanding of databases, SQL, data structures, and how enterprise data workflows operate (ETL, dashboards, or BI tools). Retail and CPG familiarity a plus.
  • Communication & Presence: Exceptional verbal and written communication skills. You must be comfortable presenting to professional rooms, driving workshops, and confidently training corporate stakeholders.
  • Mobility: High energy and complete willingness to travel frequently to client offices at a short notice as required by deployment schedules.
  • The "Challenger" Mindset: A proactive, problem-solving attitude—someone who doesn’t just sit behind a laptop, but actively engages clients to ensure technical success.
  • Additional Details:

  • Pay Range: $15/hr
  • Schedule: 40-hour week: typically 8 a.m. - 5 p.m. Monday-Friday
  • Length of Internship: 3 months with the potential to convert to a full-time opportunity based on employer demand
  • Location: Bentonville, Arkansas
  • Our Must Haves:

  • 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
  • Skills

    BI ToolsData LiteracyData PipelinesETLSQL

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