AI Applications DevOps Intern
Revvity
About the Role
AI Applications DevOps Intern
Key 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.
Requirements & Tech Stack
- 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.
Qualifications
- Currently pursuing a degree in Computer Science, Software Engineering, or related technical field.
- Experience with containerization technologies like Docker.
- 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).
- Experience with Azure AI foundry, Google Cloud Platform is a plus.