AI/ML Engineer Intern, Data Engineering

​Why Ryan?

The AI/ML Engineer Intern, Data Engineering will support the development and deployment of AI and machine learning solutions that improve business processes and operational efficiency. This role provides hands-on experience with AI/ML technologies, cloud platforms, data engineering pipelines, and modern software development practices.
The intern will collaborate with AI/ML engineers, data engineers, data scientists, and product teams to assist with building scalable data and AI solutions using Python, cloud services, and machine learning frameworks.

Duties and Responsibilities:

• Assist in developing and testing AI/ML models and data pipelines.

• Support cloud-based AI/ML deployments in Azure or AWS environments.

• Contribute to data engineering and MLOps workflows.

• Work with modern AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and MLFlow.

• Participate in Agile development activities and team collaboration.

• Support generative AI and data-driven solution initiatives.

Education and Experience:

• Working toward a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.

• Anticipated graduation date within one year of internship

• Minimum Overall and Major GPA of 2.8

• Familiarity with Python or other programming languages.

• Basic understanding of machine learning, databases, and cloud technologies.

• Strong analytical, communication, and problem-solving skills.

• Exposure to AI/ML projects, Git, or cloud platforms is a plus.

Professional Skills Requirements:

• Work effectively in a fast pace, high-energy environment.

• Strong problem solving, attention to detail, and communication skills.

• Ability to prioritize tasks, work on multiple assignments, and manage ambiguity.

• Ability to work both independently and as part of a team with professionals at all levels.

• Intermediate knowledge of all Microsoft Office applications, Outlook, and etc.

Computer Skills:

To perform this job successfully, an individual must have intermediate knowledge of Microsoft® Word, Access, Excel, PowerPoint, Outlook, and Internet navigation and research.

Certificates and Licenses:

Valid driver's license required.

Supervisory Responsibilities:

This position has no supervisory responsibilities.

Equal Opportunity Employer: disability/veteran