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AI/ML Engineer Intern, Data Engineering

  • Job type Posted on: Jul 14, 2026
  • Experience level Role, Inc.
  • Employment type Plano, Texas
  • Employment type Onsite
  • Salary Full-time

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Job Title :

AI/ML Engineer Intern, Data Engineering

Job Type :

Full-time

Job Location :

Plano Texas United States

Remote :

No

Jobcon Logo Job Description :

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. 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. Certificates and Licenses Valid driver's license required. Equal Opportunity Employer: disability/veteran. #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jul 14, 2026

Reference Number:

14660_767736C5FB9B5E98F34D407C4219587D

Employment:

Full-time

Salary:

Not Available

City:

Plano

Job Origin:

APPCAST_CPC

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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. 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. Certificates and Licenses Valid driver's license required. Equal Opportunity Employer: disability/veteran. #J-18808-Ljbffr

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