Role Overview
Atlas SkillTech University invites applications from agile academicians, researchers, and industry practitioners in Computer Science, Artificial Intelligence, Machine Learning, and allied domains. The selected faculty will anchor advanced courses in AI/ML, Deep Learning, NLP, Generative AI, and Data Science while driving cutting-edge research and industry-linked innovation. As part of the vibrant uGDX School of Technology, you will mentor India's next generation of AI engineers and contribute to a research ecosystem shaped by IEEE and ACM standards of excellence.
Specialisation Areas (any one or more)
Artificial Intelligence & Machine Learning
Deep Learning, Neural Networks & Computer Vision
Natural Language Processing & Large Language Models (LLMs)
Generative AI, Foundation Models & Responsible AI
Data Science, Big Data Analytics & Business Intelligence
Reinforcement Learning & Autonomous Systems
Cloud-Native AI, MLOps & AI System Design
Algorithms, Theory of Computation & Software Engineering
Cybersecurity, Privacy & Trustworthy AI





Key Responsibilities
Teaching & Curriculum Delivery
Deliver undergraduate and postgraduate courses aligned with BTech CS (AI & ML) and allied programmes.
Develop Outcome-Based Education (OBE) curriculum benchmarked against industry trends and NEP 2020.
Conduct laboratory sessions, hands-on project workshops, hackathons, and capstone thesis supervision.
Integrate real-world case studies, problem-based learning, and industry-grade project methodologies.

Research & Innovation
Conduct high-quality research and publish in Scopus, SCI, ABDC, IEEE, ACM, or UGC-CARE indexed venues.
File patents, develop functional prototypes, and contribute to technology commercialisation and start-up ecosystems.
Pursue funded research grants (DST, SERB, AICTE, DBT, industry grants) and interdisciplinary collaborations.
Contribute to the School's research output and citation impact.

Industry Collaboration
B

📌 Faculty Member Mumbai
🏢 ATLAS SkillTech University
📍 Mumbai