Artificial Intelligence Engineering Intern - Summer 2027

Service Express; Cleveland (OH); On-site; USD 2,066,000 - 3,031,000; Part time

Job summary

Service Express invites an Artificial Intelligence Engineering Intern to support AI development, ML model implementation, and solution management. You will collaborate across teams to design scalable AI applications and contribute to decision-making and business performance.

You will work under senior engineers, following SDLC practices, and gain hands-on experience with Python, Spark, and Azure AI tools while documenting and sharing progress with the team.

Qualifications

• Enrolled in or pursuing a Bachelor's degree or higher in Computer Science, AI, Data Science, or a related field.
• Experience with Python (Spark, pandas) and SQL.
• Understanding of AI methods including supervised/unsupervised learning, regression, and neural networks.
• Exposure to cloud platforms, especially Azure (Synapse, ML, Data Factory, Functions).
• Familiarity with SOLID, OOD, and Domain Driven Design concepts.
• Strong problem-solving skills and a proactive attitude.

Responsibilities

• Collaborate with team to translate business requirements into AI solutions.
• Develop high-performing, reusable code following industry standards under supervision.
• Support SDLC phases from requirements to maintenance.
• Assist in building pipelines using Python, Spark, Azure ML, and OpenAI.
• Work with data analysts/engineers to translate requirements into technical solutions.
• Troubleshoot AI performance issues and production problems.
• Maintain knowledge of advancements in AI, ML, and data engineering.
• Participate in team meetings and contribute ideas for improvement.
• Create documentation related to internship work.

Skills

Python

Spark

pandas

SQL

Supervised learning

Unsupervised learning

Regression analysis

Neural networks

SOLID principles

Object Oriented Design

Domain Driven Design

Problem solving

Proactive attitude

Agile methodologies

Test Driven Development

Visual Studio

Git

Azure DevOps

Education

Bachelor's degree or higher in Computer Science, AI, Data Science, or related field

Tools

Visual Studio

Git

Azure DevOps

Job description

Artificial Intelligence Engineering Intern

The Artificial Intelligence Engineering Intern is responsible for supporting the development, implementation, and management of AI solutions and machine learning models that address complex business challenges. This internship position is designed to provide hands-on experience in AI development while fostering collaboration across multiple departments to create innovative solutions that enhance decision-making and business performance.

Responsibilities:

• Collaborate with team members to understand business requirements and assist in designing scalable AI applications aligned with organizational objectives.
• Develop high-performing, reusable, and reliable code following industry standards and best practices under the guidance of senior engineers.
• Support various phases of the Software Development Life Cycle (SDLC), including requirement gathering, design, implementation, testing, deployment, documentation, and maintenance.
• Assist in building pipelines leveraging tools such as Python, Spark, Azure ML, and OpenAI.
• Work with data analysts, data engineers, and software engineers to translate business requirements into technical solutions.
• Troubleshoot, analyze, and resolve AI performance issues and production problems.
• Maintain up-to-date knowledge of advancements in AI, machine learning, and data engineering.
• Participate actively in team meetings, contributing ideas and insights to drive continuous improvement.
• Create necessary documentation relating to work produced during the internship.

Basic Qualifications:

• Currently pursuing a Bachelor's degree or higher in Computer Science, AI, Data Science, or a related field.
• Strong foundational knowledge of Python programming (e.g., Spark, pandas) and SQL.
• Familiarity with AI methodologies, including supervised/unsupervised learning, regression analysis, and neural networks.
• Practical knowledge of cloud platforms, particularly Azure (Azure Synapse, Azure ML, Azure Data Factory, Azure Functions).
• Exposure to software development fundamentals such as SOLID principles, Object-Oriented Design, and Domain Driven Design.
• Strong problem-solving skills and a proactive attitude.

Bonus Points:

• Familiarity with tools such as Visual Studio, Git, and Azure DevOps.
• Knowledge of Agile methodologies and Test Driven Development (TDD).
• Awareness of cutting-edge industry trends and technologies.