Revvity
health
AIApplicationsDevOpsIntern
Neural analysis suggests this role is
optimal for Entry candidates.
“AI Applications DevOps Intern at Revvity. Skills: DevOps, AI Applications, AWS. 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.”
What You'll Achieve.
solve the world’s greatest health challenges; push boundaries in pursuit of better human health; positive impact on society; develop AI solutions that empower and uplift our workforce; integrate AI into our corporate culture
Industry & Context.
problem-solving skills
What They're Looking For.
Must Have
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)., problem-solving skills and eagerness to learn new technologies.
Nice to Have
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., AWS certifications or training (even in progress).
What You'll Do.
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
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.
How You'll Work.
Team & Collaboration
Collaborate with AI Development co-ops; Partner with purpose; Collaborate for success
Communication Scope
communicate directly with customers and users; present your work clearly and effectively to different stakeholders
Full Job Description
## **Job Title** AI Applications DevOps Intern ## **Location(s)** Mumbai **About Us** Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers, and clinicians solve the world’s greatest health challenges. We pair the enthusiasm of an industry disruptor with the experience of a longtime leader. Our team of 11,000+ colleagues from around the globe are vital to our success and the reason we’re able to push boundaries in pursuit of better human health. Find your future at Revvity ** _Application Process_** 1) Review the Job Description in detail. 2) Complete the mandatory candidate Application form ( [Revvity India Application for 2026 AI internship – Fill out form](https://forms.office.com/r/nziMnR0PVV) ) 3) Submit the application on Workday. _Only candidates who complete the form and apply for Job on workday will be considered for further evaluation._ **What 's in it for You** * Experience personalized career journeys with growth-oriented development opportunities. * Engage in purpose-driven work that makes a positive impact on society. * Be part of a values-driven culture that fosters inclusivity and innovation. **Your Superpowers in Action** * 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. **Basic Qualifications** * 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 (
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