Park Place Technologies

Artificial Intelligence Engineering Intern - Summer 2027

Posted 7 Days Ago

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Highland Heights, OH, USA

Hybrid

Internship

Hardware • Information Technology

The Role

Supports the development and deployment of AI solutions and machine learning models. The intern helps design scalable applications, build data and AI pipelines, write reliable code, troubleshoot performance issues, participate in the SDLC, collaborate with technical teams, and document completed work.

Summary Generated by Built In

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.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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Skills Required

Currently pursuing a Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Data Science, or a related field
Strong foundational knowledge of Python programming, including tools such as Spark and pandas
Knowledge of SQL
Familiarity with supervised and unsupervised learning, regression analysis, and neural networks
Practical knowledge of Azure cloud platforms, particularly Azure Synapse, Azure ML, Azure Data Factory, and Azure Functions
Exposure to SOLID principles, object-oriented design, and domain-driven design
Strong problem-solving skills and a proactive attitude
Familiarity with Visual Studio, Git, and Azure DevOps
Knowledge of Agile methodologies and test-driven development
Awareness of current industry trends and technologies

Park Place Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Park Place Technologies and has not been reviewed or approved by Park Place Technologies.

Healthcare Strength — Healthcare coverage is presented as at‑market or better, with comprehensive medical, dental, and vision offerings for employees and families. Wellness resources and employer‑verified benefit listings reinforce strong core coverage.
Retirement Support — A 401(k) program is emphasized, with indications of employer matching that strengthen retirement readiness. Public benefits materials point to a solid retirement foundation.
Wellbeing & Lifestyle Benefits — Wellbeing programs span a global wellness portal, biometric screenings, yoga, smoking‑cessation support, and on‑site amenities at the Cleveland HQ. Onsite childcare and wellness rooms further signal investment in everyday wellbeing where available.