ARTPARK (AI & Robotics Technology Park) at the Indian Institute of Science (IISc) is India's leading innovation hub for Artificial Intelligence, Robotics, Autonomous Systems, and DeepTech research. Established with support from the Government of India and the Government of Karnataka, ARTPARK enables cutting-edge AI innovation, startup incubation, and enterprise-scale technology development.

The Data Science team at ARTPARK develops AI-powered applications that help researchers and domain experts analyze large-scale public datasets. As a GenAI DevOps Intern, you will help build and maintain the infrastructure, CI/CD pipelines, cloud environments, monitoring systems, and operational reliability for AI-powered applications serving real users.

This internship offers an exceptional opportunity to work with modern DevOps practices, Cloud Infrastructure, Generative AI platforms, GPU-backed services, and production deployment environments.

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Job Overview

We are looking for a highly motivated GenAI DevOps Intern who is passionate about Cloud Computing, DevOps, Linux Administration, Infrastructure Automation, CI/CD, Containerization, and Generative AI technologies.

You will work closely with AI researchers, software engineers, and data scientists to automate deployments, maintain cloud infrastructure, improve operational reliability, and optimize AI model deployment environments.

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Key Responsibilities

- Design, implement, and maintain CI/CD pipelines using GitHub Actions.

- Automate software build, testing, deployment, and release workflows.

- Configure production infrastructure using Nginx, Systemd, SSH, and Linux servers.

- Manage SSL certificates, DNS configuration, reverse proxies, and server administration.

- Deploy and manage Docker containers using Docker Compose.

- Configure cloud storage synchronization and automated backups using AWS S3.

- Build and maintain staging environments for application testing before production releases.

- Implement centralized logging using Grafana Loki, Amazon CloudWatch, or similar observability platforms.

- Configure infrastructure monitoring, uptime monitoring, health checks, disk utilization alerts, and notification systems.

- Assist in load testing, benchmarking, and infrastructure performance optimization.

- Collaborate with AI engineers and Data Science teams to support production AI applications.

- Document infrastructure configurations, deployment procedures, operational runbooks, and cloud architecture.

- Troubleshoot infrastructure, networking, deployment, and cloud-related issues.

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Required Qualifications

- Currently pursuing or recently completed a Bachelor's degree in Computer Science, Information Technology, Engineering, Artificial Intelligence, Data Science, or a related field.

- Strong understanding of Linux server administration.

- Basic knowledge of Python programming.

- Understanding of networking fundamentals including DNS, SSL/TLS, Reverse Proxy, HTTP, HTTPS, SSH, and Ports.

- Knowledge of Git and GitHub workflows.

- Passion for DevOps, Cloud Computing, Infrastructure Automation, and AI platforms.

- Ability to work independently with strong analytical and troubleshooting skills.

- Interest in Large Language Models (LLMs) and Generative AI technologies.

- Understanding of AI model benchmarking, latency optimization, and performance evaluation.

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Required Skills

- DevOps

- Cloud Computing

- Linux

- Ubuntu

- Debian

- Git

- GitHub

- GitHub Actions

- CI/CD

- Docker

- Docker Compose

- Nginx

- Systemd

- SSH

- AWS

- Amazon EC2

- Amazon S3

- AWS IAM

- Amazon CloudWatch

- Networking

- DNS

- HTTP

- HTTPS

- SSL/TLS

- Reverse Proxy

- Python

- Infrastructure Engineering

- Platform Engineering

- Monitoring

- Logging

- Automation

- Troubleshooting

- Cloud Infrastructure

- Generative AI

- Large Language Models (LLMs)

- AI Infrastructure

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Preferred Skills

- Kubernetes

- GitLab CI/CD

- Jenkins

- Terraform

- Infrastructure as Code (IaC)

- Prometheus

- Grafana

- Grafana Loki

- CloudWatch

- Ollama

- vLLM

- GPU Infrastructure

- AI Model Serving

- Performance Optimization

- Load Testing

- DevSecOps

- Site Reliability Engineering (SRE)

- Observability

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What You Will Learn

- Production deployment of AI-powered web applications.

- Enterprise DevOps workflows using GitHub Actions.

- Cloud Infrastructure management on AWS.

- Infrastructure Automation and Infrastructure as Code.

- Monitoring, logging, alerting, and observability best practices.

- Managing GPU-backed AI infrastructure.

- AI model deployment, benchmarking, and optimization.

- Collaboration with researchers, AI engineers, and IISc domain experts.

- Building scalable, reliable, and secure cloud-native systems.

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Why Join ARTPARK @ IISc?

- Work with one of India's leading AI and Robotics innovation organizations.

- Gain practical experience with enterprise DevOps and Cloud Engineering.

- Exposure to Generative AI, Large Language Models, and AI infrastructure.

- Hands-on learning with production cloud environments.

- Mentorship from experienced researchers, AI engineers, and DevOps professionals.

- Opportunity to contribute to cutting-edge AI products and DeepTech innovation.

- Collaborative, research-driven environment focused on innovation and continuous learning.

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GenAI DevOps Intern, DevOps Internship, Cloud Engineer Internship, AI Infrastructure, Generative AI, Large Language Models, LLM, AI Engineering, AWS, Amazon EC2, Amazon S3, AWS IAM, CloudWatch, Docker, Docker Compose, Kubernetes, GitHub Actions, CI/CD, Linux, Ubuntu, Debian, Nginx, Systemd, SSH, Python, Terraform, Infrastructure as Code, Grafana, Grafana Loki, Prometheus, Monitoring, Logging, DevSecOps, Site Reliability Engineering, SRE, AI Operations, Bangalore Jobs, Hybrid Jobs, Cloud Computing, Infrastructure Engineering

Application Process

Interested candidates can apply using below Apply now