If you’re interested in working at the intersection of AI systems and infrastructure, the GenAI DevOps Intern role at ARTPARK is a strong opportunity. This is not a typical internship where you just assist senior developers instead, you’ll take ownership of real systems powering AI applications.
With the rise of Generative AI (GenAI), companies now need engineers who can not only build models but also deploy and maintain them reliably. This role focuses exactly on that—DevOps for AI systems, which is one of the most in-demand skill areas today.
About the Company
ARTPARK (AI & Robotics Technology Park) is a leading AI research and innovation organization based in India, closely associated with IISc Bangalore. It focuses on building real-world AI solutions using large-scale public datasets.
The organization works on impactful domains such as:
- Data science and analytics
- AI-powered tools for public datasets
- Research-driven applications
Working here means contributing to real-world AI systems used by domain experts, rather than just internal or experimental projects.
Role Overview
The GenAI DevOps Intern will be responsible for managing the infrastructure, deployment pipelines, and operational reliability of an AI-powered web application.
This is a hands-on role where you will:
- Set up CI/CD pipelines
- Manage servers and deployments
- Ensure system uptime and monitoring
- Work with cloud services and containers
Unlike many internships, this role expects ownership and independence, making it ideal for candidates who already have some foundational knowledge and want to grow quickly.
Responsibilities
- Set up and maintain CI/CD pipelines using GitHub Actions
- Configure monitoring, alerting, and uptime checks
- Manage production deployments using nginx, systemd, and SSL
- Handle cloud storage, backups, and AWS S3 integration
- Build staging environments for testing before deployment
- Create Dockerfiles and container configurations
- Centralize logging using tools like Grafana, Loki, or CloudWatch
- Assist in performance testing and system optimization
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Who Can Apply
| Criteria | Details |
|---|---|
| Role | GenAI DevOps Intern |
| Location | Bangalore (Hybrid) |
| Duration | 3–6 Months |
| Type | Full-Time Internship |
| Eligibility | Students / Freshers with DevOps + AI interest |
Required Skills
- Strong understanding of Linux (Ubuntu/Debian)
- Knowledge of Git & GitHub workflows
- Basic Python knowledge (reading code, running scripts)
- Understanding of networking (DNS, ports, SSL/TLS)
- Familiarity with LLMs and GenAI tools
- Ability to work independently and take ownership
Nice-to-Have Skills
- Experience with Docker and containers
- Knowledge of AWS services (EC2, S3, IAM, CloudWatch)
- Familiarity with CI/CD tools (GitHub Actions, Jenkins)
- Exposure to monitoring tools like Prometheus or Grafana
- Understanding of model serving tools (Ollama, vLLM)
Stipend (Market Estimate) 💰
ARTPARK has not publicly disclosed the stipend for this internship. Based on similar DevOps + AI internships in Bangalore:
- Estimated Stipend: ₹20,000 – ₹50,000/month
Factors influencing stipend:
- Prior experience in DevOps or cloud
- Hands-on projects with Docker, AWS, or CI/CD
- Understanding of AI/LLM deployment
Candidates with strong project experience may receive higher offers.
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What You’ll Learn
- Deployment of AI-powered applications in production
- Managing GPU-backed infrastructure
- Building reliable and scalable systems
- Working with real datasets and AI tools
- Collaboration with researchers and domain experts from IISc
How to Apply
To stand out for this role, focus on building a strong DevOps + AI profile:
- Create projects involving Docker, CI/CD, or cloud deployment
- Try deploying a simple AI model or API (Flask/FastAPI)
- Showcase knowledge of Linux commands and server setup
- Highlight any experience with LLMs, APIs, or automation tools
- Be ready to explain how you solved real-world technical problems
Final Thoughts
The GenAI DevOps Intern role at ARTPARK is not for complete beginners—it expects some foundational knowledge and the ability to work independently.
However, if you already have basic DevOps and cloud skills, this internship can significantly accelerate your career. It offers exposure to AI infrastructure, real production systems, and cutting-edge technologies, which are highly valuable in today’s job market.
If your goal is to move into DevOps, MLOps, or AI infrastructure roles, this opportunity is definitely worth applying for.
Disclaimer: This job information is collected from official/public sources. We do not charge any fees for job updates, do not guarantee recruitment, and are not responsible for any loss arising from reliance on this information.
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