IT AI Development Intern

Amphenol and its Affiliated CompaniesSt. Augustine, FL
Hybrid

About The Position

We are seeking a motivated and curious AI Developer Summer Intern to join our IT team. This internship offers hands-on experience designing, building, testing, and deploying AI- and ML-powered solutions that solve real business problems. The successful candidate will gain hands-on experience working on real-world AI solutions under the mentorship of experienced technical leaders. You will support teams looking to improve business processes in a culture of continuous improvement, and be exposed to enterprise-scale systems, modern AI architectures, and best practices. You will have the opportunity to present work to technical and business stakeholders.

Requirements

  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, AI, or a related field
  • Strong programming skills in Python required
  • Experience using cloud platforms (Azure, AWS, or GCP) required
  • Strong problem-solving skills and eagerness to learn necessary
  • Foundational understanding of machine learning concepts required
  • Familiarity with ML libraries such as NumPy, Pandas, or scikit-learn required
  • Basic knowledge of data structures, algorithms, and software engineering principles required

Nice To Haves

  • Java, C++, or JavaScript a plus
  • Experience with deep learning frameworks such as PyTorch or TensorFlow preferred
  • PowerShell knowledge and experience very strongly preferred
  • Exposure to generative AI, LLMs, or natural language processing preferred
  • Prior internship, research, or personal AI projects preferred
  • Experience with Microsoft Copilot Studio, Microsoft Power Platform
  • Familiarity with Git, CI/CD pipelines, or DevOps practices
  • SAP or enterprise systems experience preferred

Responsibilities

  • Assist or lead in the design, development, and testing of AI/ML models and applications
  • Collaborate with IT and cross-functional business teams to translate business needs into technical solutions
  • Build and optimize data pipelines for training and inference workflows
  • Implement prototypes using tools such as Python, PyTorch, TensorFlow, and other Python standard and custom packages
  • Work with structured and unstructured data (text, images, APIs, etc.)
  • Support experimentation with large language models (LLMs), prompt engineering, or AI APIs
  • Integrate with Microsoft 365 and enterprise systems
  • Document code, experiments, and findings clearly for team review
  • Participate in code reviews, sprint planning, and technical discussions
  • Other duties as required in support of the department and the company
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