Why Ryan? - Competitively Paid Internship
- Award-Winning Culture
- Paid Holidays
- Mentorship Opportunities and Hands-On Training
- Networking with Industry Leaders
- All-Expense-Paid Trip to Ryan Headquarters in Dallas, TX (Summer Interns Only)
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