AI Applications DevOps Intern

Job Description:

Responsibilities

• Assist in designing, implementing, and maintaining CI/CD pipelines for AI application deployment on AWS infrastructure.
• Collaborate with AI Development co-ops to automate LLM application deployment and testing workflows.
• Help monitor and troubleshoot cloud-based AI systems using AWS CloudWatch, CloudTrail, and other monitoring tools.
• Support containerization efforts using Docker and AWS ECS/EKS for ML applications.
• Participate in implementing infrastructure-as-code using tools like AWS CloudFormation or Terraform.

Qualification & Experience 

• Currently pursuing a degree in Computer Science, Software Engineering, or related technical field.
• Basic understanding of cloud computing concepts and AWS services (EC2, S3, Lambda).
• Familiarity with at least one programming language (js preferred).
• Knowledge of version control systems (Git).
• Strong problem-solving skills and eagerness to learn new technologies.
• Preferred qualifications
• Experience with containerization technologies like Docker.
• Experience with Azure AI foundry, Google Cloud Platform is a plus
• Familiarity with CI/CD tools such as GitHub Actions, or AWS CodePipeline.
• Previous coursework or projects related to DevOps, cloud computing, or machine learning.
• Nice to have: AWS certifications or training (even in progress).