AI Engineer Student Advisor

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