Description :

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 Engineer with around 1-2 Years 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 1 -2 Year 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.