Responsibilities

• Assist in setting up and maintaining CI/CD pipelines for application and AI workloads
• Support infrastructure provisioning and automation using scripts and Infrastructure-as-Code concepts
• Help deploy, monitor, and maintain applications, APIs, and AI models in development and test environments
• Assist in containerization using Docker and orchestration concepts such as Kubernetes
• Support system monitoring, logging, and basic performance troubleshooting
• Collaborate with development and data teams to enable smooth DevOps workflows
• Assist in integrating AI/ML components into applications and pipelines
• Document deployment processes, configurations, and operational procedures
• Participate in Agile ceremonies and sprint-based delivery activities

Qualifications

• Currently pursuing a degree in Computer Science, Engineering, Data Science, AI, or relate...