AI/ML Engineer Intern, Data Engineering

• Posted 7 hours ago • Updated 7 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Mentorship
  • Training
  • Computer Networking
  • Business Process
  • Operational Efficiency
  • Software Development
  • Testing
  • Microsoft Azure
  • Amazon Web Services
  • Data Engineering
  • Machine Learning Operations (ML Ops)
  • Workflow
  • TensorFlow
  • PyTorch
  • scikit-learn
  • Agile
  • Collaboration
  • Generative Artificial Intelligence (AI)
  • Computer Science
  • Data Science
  • Python
  • Programming Languages
  • Database
  • Analytical Skill
  • Artificial Intelligence
  • Machine Learning (ML)
  • Git
  • Cloud Computing
  • Energy
  • Problem Solving
  • Conflict Resolution
  • Attention To Detail
  • Communication
  • Management
  • Microsoft Office
  • Microsoft Word
  • Microsoft Excel
  • Microsoft PowerPoint
  • Microsoft Outlook
  • Internet
  • Research
  • Supervision

Summary

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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90922487
  • Position Id: 24337284
  • Posted 7 hours ago
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