AI Engineering Intern: Build AI Models & Pipelines

Crowe-Global; Chicago (IL); On-site; USD 37,000 - 58,000; Full time

Job summary

Crowe invites applications for an AI Engineering Intern to support the design, development, testing, and deployment of AI solutions across the organization. You will work with senior engineers on model development, data preparation, and prototype creation, gaining hands-on experience and contributing to supervised tasks.

You will learn cloud-based tools, containerization with Docker and Kubernetes, and CI/CD practices while applying academic concepts to enterprise-scale systems.

Qualifications

• Pursuing a degree in Computer Science, Engineering, Data Science, or a related field.
• Working knowledge of foundational programming concepts and data structures, with exposure to Python.
• Familiarity with core AI/ML concepts gained through coursework or independent projects.
• Ability to communicate technical ideas clearly and collaborate effectively within a team.
• Exposure to cloud platforms such as AWS, Azure, or GCP, along with containerization concepts including Docker and Kubernetes.
• Introductory understanding of CI/CD practices and distributed computing fundamentals.
• Curiosity-driven approach to learning, with responsiveness to feedback and coaching.
• Some grounding in generative AI frameworks such as PyTorch, TensorFlow, or Hugging Face.

Responsibilities

• Support the development of AI models and prototypes through data preparation, scripting, and experimentation.
• Assist in implementing components of AI pipelines, including preprocessing, model training, and testing workflows.
• Participate in code reviews and supervised engineering tasks to learn best practices.
• Contribute to documentation of prototypes, experiments, and engineering processes.
• Execute test cases and validation procedures to verify model performance and reliability.
• Analyze datasets to extract insights and generate features under guidance.
• Learn cloud-based tools, containerization, and orchestration concepts relevant to AI deployment.
• Collaborate with team members to solve technical problems and complete scoped tasks.

Skills

Python

Data structures

AI/ML concepts

CI/CD practices

LLM concepts

RAG workflows

Vector databases

Communication

Team collaboration

Education

Pursuing degree in CS/Engineering/Data Science

Tools

AWS

Azure

GCP

Docker

Kubernetes

PyTorch

TensorFlow

Hugging Face

CI/CD pipelines

Job description

Crowe invites applications for an AI Engineering Intern to support the design, development, testing, and deployment of AI solutions across the organization. You will work with senior engineers on model development, data preparation, and prototype creation, gaining hands-on experience and contributing to supervised tasks.

You will learn cloud-based tools, containerization with Docker and Kubernetes, and CI/CD practices while applying academic concepts to enterprise-scale systems.