Faculty/Professor - Multi-Cloud & Generative AI Orientation

Pixel Pop Academy; Pune District; Presencial; INR 900.000 - 1.700.000; Jornada completa

Descripción de la vacante

Pixel Pop Academy is seeking a qualified faculty member for its B.Tech CSE program in Pune, specializing in Cloud Computing and Generative AI. The role focuses on practical, application-oriented learning across multi-cloud environments, AI platforms and GenAI tools.

The candidate will deliver lectures, labs and projects, mentor students, and contribute to curriculum development and research collaborations.

Formación

• Master's degree or higher in a relevant field.
• Ph.D. preferred; UG/PG eligibility as per university guidelines.
• Teaching experience in Cloud, AI/ML or GenAI is valued.

Responsabilidades

• Deliver lectures, tutorials, labs and workshops on multi-cloud and GenAI.
• Develop course content, labs, assignments, projects and assessments.
• Provide hands-on exposure to AWS, Azure and GCP environments.
• Teach cloud architecture, DevOps, containers, Kubernetes and security.
• Guide GenAI concepts, LLMs, RAG, vector DBs and model APIs.
• Mentor students, evaluate work, and participate in curriculum updates.

Conocimientos

Cloud Computing

Multi-Cloud Architecture

Generative AI

Python

APIs

Containers

Kubernetes

DevOps

Communication skills

Industry orientation

Educación

Master's degree in CS / IT / AI / Data Science / Cloud Computing

Ph.D. in a relevant area (preferred)

Herramientas

AWS

Azure

GCP

Kubernetes

Descripción del empleo

Job Description Faculty | Multi-Cloud & Generative AI Orientation

Position: Assistant Professor / Faculty - Multi-Cloud & Generative AI

Program: B.Tech - Computer Science & Engineering
Specialization: Cloud Computing & Generative AI
Institute: ADYPU, Pune
Department: Computer Science & Engineering
Location: Pune, Maharashtra
Employment Type: Full-Time

About the Role

Pixel Pop Academy, is looking for an experienced and industry-oriented Faculty member for Multi-Cloud & Generative AI Orientation for its B.Tech CSE program specializing in Cloud Computing & Generative AI.

The faculty member will be responsible for delivering practical and application-focused learning across multi-cloud environments, cloud-native technologies, AI/ML platforms and Generative AI, while preparing students for real-world technology roles.

Key Responsibilities

• Deliver lectures, tutorials, practical sessions and workshops on Multi-Cloud Computing and Generative AI.
• Develop course content, lab exercises, assignments, projects and assessments.
• Provide hands-on exposure to leading cloud platforms such as:
  • AWS
  • Microsoft Azure
  • Google Cloud Platform (GCP)
• Teach concepts related to:
  • Multi-cloud and hybrid-cloud architecture
  • Cloud infrastructure and services
  • Cloud-native application development
  • Containers and Kubernetes
  • Serverless computing
  • Cloud security and IAM
  • Cloud networking and storage
  • DevOps and CI/CD
  • Cloud monitoring and cost optimization
  • AI/ML services available across cloud platforms
• Introduce students to Generative AI concepts, tools and applications.
• Cover relevant GenAI areas such as:
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • AI agents and agentic workflows
  • Vector databases and embeddings
  • Model APIs and AI platforms
  • Generative AI application development
  • Responsible and secure AI
• Guide students in developing cloud-based Generative AI applications and projects.
• Use cloud sandboxes, labs, simulations and real-world case studies to deliver experiential learning.
• Mentor students for industry certifications, hackathons, projects and technical competitions.
• Evaluate assignments, projects, examinations and practical work.
• Participate in curriculum development and continuous improvement of the program.
• Contribute to research, publications, conferences and industry-academic collaborations.

Desired Candidate Profile

• Strong expertise in Cloud Computing, Multi-Cloud Architecture and/or Generative AI.
• Hands-on experience with one or more major cloud platforms, preferably AWS, Azure or GCP.
• Good understanding of cloud-native technologies and modern AI/ML ecosystems.
• Practical knowledge of Python, APIs, containers, Kubernetes and DevOps will be preferred.
• Strong understanding of Generative AI concepts and application development.
• Ability to translate complex technical concepts into practical, student-friendly learning.
• Strong communication, classroom management and mentoring skills.
• Industry certifications such as AWS / Azure / GCP / Kubernetes / AI-related certifications will be an advantage.
• Research orientation with publications, projects or industry contributions will be preferred.

Educational Qualification

• Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Cloud Computing, Computer Engineering or a relevant discipline.
• Ph.D. in a relevant area is preferred.
• Candidates should meet the applicable UGC / university / institutional eligibility requirements for the faculty position.

Experience

• Prior teaching experience in Cloud Computing, AI/ML, Generative AI or related technology domains will be preferred.
• Candidates with relevant industry experience in cloud architecture, DevOps, AI/ML or GenAI are encouraged to apply.
• Candidates with strong hands-on industry expertise and teaching aptitude may also be considered, subject to institutional requirements.

Key Technology Areas

Multi-Cloud | AWS | Azure | GCP | Kubernetes | DevOps | Cloud-Native | AI/ML | Generative AI | LLMs | RAG | Prompt Engineering | AI Agents | Vector Databases

What We Are Looking For

Cloud Expertise + Generative AI Knowledge + Hands-on Skills + Academic Excellence + Industry Orientation

The ideal candidate should be able to bridge multi-cloud infrastructure and Generative AI, enabling students to move from theoretical understanding to building and deploying real-world cloud-based AI solutions.