The Job

• Deliver lectures, tutorials, workshops, and practical sessions in AI and DevOps related subjects.
• Prepare lesson plans, lecture materials, assignments, and examination papers.
• Conduct student assessments and provide academic guidance and feedback.
• Supervise student projects, research activities, and laboratory sessions.
• Support curriculum development and continuous academic improvements.
• Maintain accurate academic records and ensure compliance with institutional policies.
• Participate in departmental academic and administrative activities.
• Stay updated with emerging technologies, industry trends, and best practices in AI and DevOps.

The Person

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field.
• Master’s qualification in AI, Cloud Computing, DevOps, or a related specialization.
• Minimum 2–3 years of industry and/or teaching experience.
• Strong knowledge of AI Platforms, Cloud Infrastructure, CI/CD, DevSecOps, IaC, Containerization, and SRE practices.
• Hands-on experience with Docker, Kubernetes, Jenkins, Terraform, GitHub, and cloud platforms is required.
• Good communication, presentation, and interpersonal skills.
• Prior higher education teaching experience would be preferred.