ARTPARK (AI & Robotics Technology Park), established by the Indian Institute of Science (IISc) with support from the Department of Science & Technology (Government of India) and the Government of Karnataka, is one of India's leading deep-tech innovation hubs focused on Artificial Intelligence (AI), Robotics, Machine Learning, Autonomous Systems, Cloud Computing, and Advanced Research.

The Data Science team develops AI-powered platforms that help researchers and domain experts analyze large-scale public datasets while building reliable cloud-native applications.

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Job Summary

ARTPARK is hiring a GenAI DevOps Intern to support the deployment, automation, monitoring, and operational reliability of AI-powered web applications. This internship provides hands-on experience with DevOps Engineering, Cloud Computing, AI Infrastructure, MLOps, CI/CD Pipelines, Docker, AWS Cloud, Linux Administration, Infrastructure Automation, Cloud Monitoring, and Generative AI (GenAI).

This is an excellent opportunity for students and recent graduates looking to build careers in DevOps Engineering, Cloud Engineering, AI Infrastructure, MLOps, Platform Engineering, Site Reliability Engineering (SRE), and Cloud Operations.

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Key Responsibilities

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

- Automate application build, testing, deployment, and release processes.

- Configure monitoring, alerting, uptime checks, and health monitoring.

- Manage production deployments using Nginx, Systemd, SSL/TLS, and Linux servers.

- Configure AWS S3 storage synchronization and automated backup solutions.

- Build and maintain staging environments for deployment validation.

- Develop Dockerfiles and Docker Compose configurations for local development and production.

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

- Perform load testing, performance benchmarking, and infrastructure optimization.

- Support infrastructure management for GPU-enabled AI workloads.

- Collaborate with AI researchers and data science teams to improve platform reliability.

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Required Qualifications

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

- Strong knowledge of Linux Administration (Ubuntu/Debian).

- Good understanding of Git and GitHub workflows.

- Basic Python programming knowledge.

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

- Strong analytical and troubleshooting skills.

- Self-motivated with excellent learning ability.

- Interest in Artificial Intelligence, Large Language Models (LLMs), and Generative AI.

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Technical Skills

- Linux Administration

- Ubuntu

- Debian

- Git

- GitHub

- GitHub Actions

- CI/CD Pipelines

- Python

- Docker

- Docker Compose

- AWS EC2

- Amazon S3

- AWS IAM

- Amazon CloudWatch

- Nginx

- Systemd

- SSH

- DNS

- Reverse Proxy

- SSL/TLS

- Grafana

- Loki

- Prometheus

- Cloud Monitoring

- Infrastructure Automation

- Cloud Computing

- DevOps Engineering

- Generative AI (GenAI)

- Large Language Models (LLMs)

- Ollama

- vLLM

- AI Model Deployment

- Model Optimization

- Quantization

- Fine-Tuning

- Knowledge Distillation

- Load Testing

- Performance Optimization

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Professional Competencies

- DevOps Engineering

- Cloud Engineering

- AI Infrastructure

- MLOps

- Platform Engineering

- Site Reliability Engineering (SRE)

- Cloud Operations

- Infrastructure Automation

- Continuous Integration (CI)

- Continuous Deployment (CD)

- Linux System Administration

- Cloud Monitoring

- Infrastructure Monitoring

- Production Deployment

- Containerization

- Docker Administration

- Cloud Security Fundamentals

- Cloud Backup & Disaster Recovery

- Automation Engineering

- Infrastructure Reliability

- Performance Engineering

- AI Platform Operations

- Technical Documentation

- Root Cause Analysis (RCA)

- Cross-functional Collaboration

- Problem Solving

- Continuous Learning

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Internship Benefits

- Work on production AI applications serving real users.

- Gain hands-on experience with enterprise DevOps and Cloud Engineering practices.

- Learn AI Infrastructure and GPU-backed cloud deployment.

- Work alongside researchers and engineers from IISc.

- Exposure to modern MLOps, Cloud Automation, and AI deployment technologies.

- Build practical experience with cloud-native architecture, monitoring, and production operations.

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Internship Details

- Position: GenAI DevOps Intern

- Employment Type: Full-Time Internship

- Duration: 3–6 Months

- Work Mode: Hybrid

- Location: Bengaluru, Karnataka

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Apply Now

Interested candidates can apply using below link