Freelance Faculty | Cloud Computing and AI

TalentSprint; Dadri; On-site; INR 446,000 - 725,000; Full time

Job summary

TalentSprint seeks experienced Cloud Computing and AI professionals to deliver industry-focused training to undergraduate students at Noida on-campus. The role is session-based, freelance/contractual, with 4–5 hours per day, 2 days per week. You will teach AWS/Azure/GCP, AI concepts, and guide hands-on labs using Docker and Kubernetes.

Ideal candidates have 3+ years teaching in higher education, strong cloud/AI expertise, and the ability to mentor students and design engaging coursework.

Qualifications

• Minimum 3 years of teaching experience at a recognised university or equivalent.
• Hands-on experience with cloud platforms (AWS/Azure/GCP) and AI concepts.
• Experience delivering curriculum, labs, and assessments.
• Strong verbal communication and student engagement abilities.

Responsibilities

• Deliver classroom sessions on Cloud Computing and AI topics.
• Teach cloud technologies including AWS, Azure and/or GCP.
• Facilitate hands-on learning with Docker, Kubernetes and cloud deployments.
• Introduce AI/ML fundamentals and cloud-integrated solutions.
• Create assignments, assessments, case studies and labs.
• Mentor students on projects and provide academic support.
• Evaluate performance and contribute to curriculum improvements.

Skills

AWS

Azure

GCP

Cloud Architecture

AI/ML Basics

Enterprise Cloud

Tools

Docker

Kubernetes

Job description

Location: Noida (On-Campus)
Engagement Type: Freelance / Contractual (Session-Based)

Work Mode: In-Person Training
Audience: B.Tech 1st Year Students
Commitment: 4-5 hours per day, 2 days per week (approximately 8-10 hours per week)

Role Summary

We are looking for experienced Cloud Computing and AI professionals to deliver industry-focused training to undergraduate students. The ideal candidate should possess strong technical expertise in cloud platforms and emerging AI technologies, coupled with a passion for teaching and mentoring future technology professionals.

Key Responsibilities:

• Deliver engaging classroom sessions on Cloud Computing and Artificial Intelligence concepts.
• Teach cloud technologies including AWS, Azure, and/or Google Cloud Platform (GCP).
• Facilitate hands-on learning through Docker, Kubernetes, and cloud-native application deployments.
• Introduce students to AI/ML fundamentals and their integration with cloud platforms.
• Create assignments, assessments, case studies, and practical lab exercises.
• Mentor students on projects and provide academic support throughout the program.
• Evaluate student performance and contribute to curriculum enhancement initiatives.

Required Technical Skills

• Expertise in AWS, Azure, and/or GCP
• Hands-on experience with Docker and Kubernetes
• Strong understanding of Cloud Architecture and Cloud Services
• Knowledge of AI/ML fundamentals and AI-enabled cloud solutions
• Experience working on enterprise cloud implementation projects

Experience

• Minimum 3 years of teaching experience at a reputed university, college, or executive education institution
• Relevant hands‑on experience in Cloud Computing, AI, DevOps, or related technologies
• Strong verbal communication, learner engagement, presentation ability.
• Experience designing curriculum, assessments, case studies, or material.