AI Automation Intern: Build Revenue AI Solutions On-site

Trimble Inc.

Dayton (OH)

On-site

USD 35,000 - 53,000

Full time

5 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Time off plans
Retirement plans
Employee Stock Purchase Plan
Parental leave

Job summary

Trimble Inc. is seeking an AI Automation Intern to design and deploy revenue‑driven AI solutions.

You will work on standalone AI components, including Cortex Analyst pipelines and intelligent chatbots, and collaborate with modern data pipelines and enterprise tech. You will gain hands‑on experience building AI workflows, dashboards, and data‑driven insights while reporting to mentors in a fast‑moving, enterprise setting.

Qualifications

  • Pursuing a Bachelor's or Master's degree in Computer Science, AI, ML, Decision Sciences, or related field.
  • Strong Python programming skills and solid SQL knowledge.
  • Familiarity with Git workflows and command-line interfaces.
  • Foundational knowledge of Large Language Models (LLMs) and AI concepts.
  • Excellent communication across global time zones and proactive problem solving.

Responsibilities

  • Architect and deploy AI/ML models, scripts, and automated workflows for revenue accounting and reporting.
  • Build and evaluate interactive AI chat assistants and LLM workflows to enhance team enablement.
  • Collaborate with leads to develop integrations across revenue management engines and Salesforce.
  • Design dashboards to monitor real-time revenue system health and metrics.
  • Own technical initiatives from concept to deployment with minimal supervision.

Skills

Python
SQL
Git
LLMs
AI concepts

Education

Bachelor's or Master's in Computer Science / AI / ML / Decision Sciences

Tools

Salesforce
Snowflake

Job description

Trimble Inc. is seeking an AI Automation Intern to design and deploy revenue‑driven AI solutions.

You will work on standalone AI components, including Cortex Analyst pipelines and intelligent chatbots, and collaborate with modern data pipelines and enterprise tech. You will gain hands‑on experience building AI workflows, dashboards, and data‑driven insights while reporting to mentors in a fast‑moving, enterprise setting.

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