About PGAGI:
At PGAGI, we believe in a future where AI and human intelligence coexist in harmony, creating a world that is smarter, faster, and better. We are not just building AI; we are shaping a future where AI is a fundamental and positive force for businesses, societies, and the planet.
Position Overview:
PGAGI Consultancy Pvt. Ltd. is seeking a proactive and motivated DevOps Intern with around 3-6 months of hands-on experience to support our AI model deployment and infrastructure initiatives. This role is ideal for someone looking to deepen their expertise in DevOps practices tailored to AI/ML environments, including CI/CD automation, cloud infrastructure, containerization, and monitoring.
Key Responsibilities:
AI Model Deployment & Integration
- Assist in containerizing and deploying AI/ML models into production using Docker.
- Support integration of models into existing systems and APIs.
Infrastructure Management
- Help manage cloud and on-premise environments to ensure scalability and consistency.
- Work with Kubernetes for orchestration and environment scaling.
CI/CD Pipeline Automation
- Collaborate on building and maintaining automated CI/CD pipelines (e.g., GitHub Actions, Jenkins).
- Implement basic automated testing and rollback mechanisms.
Hosting & Web Environment Management
- Assist in managing hosting platforms, web servers, and CDN configurations.
- Support DNS, load balancer setups, and ensure high availability of web services.
Monitoring, Logging & Optimization
- Set up and maintain monitoring/logging tools like Prometheus and Grafana.
- Participate in troubleshooting and resolving performance bottlenecks.
Security & Compliance
- Apply basic DevSecOps practices including security scans and access control implementations.
- Follow security and compliance checklists under supervision.
Cost & Resource Management
- Monitor resource usage and suggest cost optimization strategies in cloud environments.
Documentation
- Maintain accurate documentation for deployment processes and incident responses.
Continuous Learning & Innovation
- Suggest improvements to workflows and tools.
- Stay updated with the latest DevOps and AI infrastructure trends.
Requirements:
- Around 6 months of experience in a DevOps or related technical role (internship or professional).
- Basic understanding of Docker, Kubernetes, and CI/CD tools like GitHub Actions or Jenkins.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and monitoring tools (e.g., Prometheus, Grafana).
- Exposure to scripting languages (e.g., Bash, Python) is a plus.
- Strong problem-solving skills and eagerness to learn.
- Good communication and documentation abilities.
Compensation
- Joining Bonus: INR 2,500 one-time bonus upon joining.
- Monthly Stipend: Base stipend of INR 8,000 per month, with the potential to increase up to INR 20,000 based on performance evaluations.
- Performance-Based Pay Scale: Eligibility for monthly performance-based bonuses, rewarding exceptional project contributions and teamwork.
- Additional Benefits: Access to professional development opportunities, including workshops, tech talks, and mentoring sessions.
Ready to kick-start your DevOps journey in a dynamic AI-driven environment? Apply now
#Devops #Docker #Kubernetes #DevOpsIntern