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Salary
≈ $120k – $263k per year (Estimated)
Location
In office (Alpharetta)
Seniority
Intern
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on May 11, 2026. Kaleris scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Kaleris is a global software enterprise specializing in cloud-based supply chain execution and visibility solutions. Headquartered in Alpharetta, Georgia, United States, the company serves international logistics networks across ocean, rail, terminal, and yard operations. Through its integrated technology platform - encompassing yard management, terminal operating systems, and transportation workflows - it enables global brands to eliminate operational bottlenecks and optimize asset utilization.

Job Description:

About Kaleris

Kaleris is a private equity-backed software company focused on supply chain execution, headquartered in Atlanta, Georgia. We provide solutions that help industrial and finished goods shippers and carriers operate more efficiently across yard management, shipment visibility, and asset management in rail, truck, and multi-modal transportation.

Our customers include some of the world’s largest port operators and logistics networks.

About the Role

We’re looking for a sharp, curious student assistant, apprentice, or intern to join our Agile IT team, working closely with Enterprise Applications, IT FinOps, BI, and AI team members.

In this role, you will:

  • Assist in developing and deploying AI-driven solutions to automate and optimize internal business processes such as IT operations, finance, and reporting
  • Build and maintain analytic dashboards and data pipelines that empower IT and business stakeholders
  • Collaborate with IT leaders to enhance system integrations, data quality, and reporting capabilities through AI
  • Support the design, development, and testing of internal tools using AI and automation frameworks
  • Document workflows and assist in creating training materials for new solutions adopted by internal teams
  • Stay up to date on emerging AI technologies and share insights with colleagues
  • Participate in team meetings and contribute ideas to improve operational efficiency, business intelligence, and system performance
  • Help troubleshoot and resolve issues in AI-supported applications, ensuring high reliability and user satisfaction

Requirements

  • Currently pursuing a degree with exposure to programming, data, or AI through coursework, projects, or internships
  • Interest, coursework, or experience in Computer Science, Information Technology, Data Science, or a related field
  • Solid programming skills in Python preferred, or Java or C++
  • Familiarity with AI and Machine Learning concepts and techniques
  • Experience with or exposure to libraries and frameworks such as LangChain, Semantic Kernel, Azure Machine Learning SDK, or OpenAI Python SDK
  • Familiarity with Microsoft Azure services including Azure AI Studio, Azure Functions, Logic Apps, or Blob Storage
  • Understanding of data structures, APIs, and working with structured data using SQL (Oracle, SQL Server, MySQL, or similar)
  • Strong analytical and troubleshooting skills
  • Proactive mindset with the ability to collaborate across cross-functional IT teams
  • Strong written and verbal communication skills, including the ability to document and present progress
  • Ability to work effectively in a fast-paced, test-driven, and agile SDLC environment

The duties and responsibilities described are not a comprehensive list and additional tasks may be assigned from time to time or the scope of the position may change necessary to business demands.

We are an equal-opportunity employer and value diversity at Kaleris. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Kalerisis an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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