DevOps & AI Engineering Intern (Undergraduate)

About this kind of role

What a DevOps & AI Engineering Intern (Undergraduate) usually does. The employer's own details are in the listing.

Typically does: This internship supports development and operations teams, focusing on automation, infrastructure as code, and integrating AI/ML models into production environments. Tasks often include scripting, monitoring system performance, troubleshooting issues, and assisting in the deployment of applications. The intern may also contribute to building and maintaining CI/CD pipelines and collaborating on AI model deployment strategies. This role provides exposure to both traditional DevOps practices and the unique challenges of AI engineering.

Tools and skills: Familiarity with cloud platforms (AWS, Azure, or GCP), scripting languages (Python, Bash), containerization technologies (Docker, Kubernetes), and version control systems (Git) is generally expected.

Good fit for: Students pursuing degrees in computer science, software engineering, or a related field, with a strong interest in automation and machine learning, thrive in this role.