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Assistant Professor; Artificial Intelligence

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: Dayananda Sagar University
Full Time position
Listed on 2026-07-10
Job specializations:
  • Education / Teaching
    AI Business & Operations, AI Evaluation
Job Description & How to Apply Below
Position: Assistant Professor (Artificial Intelligence)
Location: Bengaluru

Job Description — Assistant Professor (Artificial Intelligence)
AI First Team | NVIDIA AI Factory Initiative
Department: AI First Team, Dayananda Sagar University

Location:

Harohalli Campus, Kanakapura Road, Bengaluru

Employment Type:

Full-time, Regular

About the Role
Dayananda Sagar University is building one of India's most ambitious academic AI programmes, powered by an on-campus NVIDIA AI Factory (DGX B200) and a University-wide AI-First mandate. We are inducting 50 Assistant Professors into our AI First Team to teach, train and build across Generative AI, Agentic AI and allied domains, and to help skill and certify our faculty and students at scale.

Key Responsibilities
Teach and mentor students in AI/ML, Generative AI and LLMs, and Agentic AI.
Deliver NVIDIA DLI-aligned training and support faculty/student certification cohorts.
Build hands-on projects, labs and use-cases on the University's GPU infrastructure.
Contribute to research, publications, and applied AI initiatives across Centres of Excellence.
Guide student projects and support curriculum integration of industry AI frameworks.

Essential Qualification
M.Tech in any branch  (Engineering / Technology).

Demonstrated proficiency in Artificial Intelligence and Machine Learning.

Important — Eligibility Note
A  CSE background is NOT mandatory.  Candidates from  any M.Tech branch  with genuine AI/ML proficiency are encouraged to apply.
What matters is demonstrated capability in  Generative AI / LLMs, Agentic AI  and related areas.

Desired Skills
Strong foundation in AI/ML concepts, deep learning, and Python.
Working knowledge of Generative AI, Large Language Models (LLMs), and Agentic AI.
Familiarity with prompt engineering, RAG, fine-tuning, and modern AI tool chains.

Preferred (Added Advantage)
Hands-on experience with NVIDIA libraries / frameworks  — e.g. NeMo, NIM, TensorRT-LLM, RAPIDS, CUDA, Triton, or the NVIDIA AI Enterprise stack.
NVIDIA-Certified Associate/Professional  (NCA/NCP — Generative AI LLM, Agentic AI, or allied) certification.
Project, research, or industry experience in applied AI.

Why Join DSU's AI First Team
Work on a state-of-the-art NVIDIA DGX B200 AI Factory.
Access to NVIDIA DLI certification pathways and continuous upskilling.
Be part of a University-wide mission to skill and certify 20,000 students this academic year.

DATE: 04-07-2026
DR.

D. PREMACHANDRA SAGAR
PRO CHANCELLOR, DSU
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