Website:
hbssindia.com
Job details:
About the Role
We are seeking exceptional AI Research Scientists to join our research team and contribute to the development of next-generation artificial intelligence technologies. This is a research-first role focused on designing novel AI algorithms, architectures, and mathematical frameworks—not simply applying existing models.
As part of our team, you will work on cutting-edge research spanning Deep Learning, Reinforcement Learning, Large Language Models (LLMs), Agentic AI, Scientific Computing, Tensor Mathematics, and High-Performance Computing, contributing to research publications, patents, and next-generation AI products.
Key Responsibilities
● Conduct advanced research in Machine Learning, Deep Learning, Reinforcement Learning, Generative AI, and Agentic AI.
● Design and develop novel neural network architectures and AI algorithms.
● Build advanced AI models for large-scale spatial-temporal systems and other computationally intensive applications.
● Develop high-performance tensor computation frameworks and optimize AI workloads for GPU acceleration.
● Implement, reproduce, evaluate, and improve state-of-the-art research from leading AI conferences and journals.
● Collaborate with researchers and engineers to translate research into scalable AI systems and products.
● Contribute to research publications, patents, and innovative AI solutions.
● Stay up to date with emerging research trends and identify opportunities for innovation.
Required Qualifications
● M.Tech., M.S. (Research), M.Sc., Ph.D., or final-year postgraduate student from premier institutions such as:
● IITs
● IISc
● BITS Pilani
● Leading NITs
● Other reputed research institutions
● Strong academic background in one or more of the following:
● Computer Science
● Artificial Intelligence
● Mathematics / Applied Mathematics
● Electrical Engineering
● Computational Engineering
● Theoretical Physics
● Mathematical Physics
● Related quantitative disciplines
Technical SkillsArtificial Intelligence
● Machine Learning
● Deep Learning
● Neural Networks
● Reinforcement Learning
● Large Language Models (LLMs)
● Generative AI
● Agentic AI
Mathematics
● Linear Algebra
● Tensor Algebra & Multilinear Algebra
● Probability & Statistics
● Optimization
● Calculus
Programming & Frameworks
● Python
● PyTorch (preferred)
● TensorFlow or JAX
● Scientific Computing
Systems & Performance
● GPU Programming
● CUDA (preferred)
● High-Performance Computing (HPC)
● Distributed Deep Learning
Preferred Research Experience
● Tensor Decomposition
● Geometric Deep Learning
● Scientific Computing
● High-Performance Computing (HPC)
● GPU Optimization
● Distributed Deep Learning
● Large-Scale AI Systems
Research Publications (Preferred)
● NeurIPS
● ICML
● ICLR
● CVPR
● ICCV
● ECCV
● AAAI
● IJCAI
● ACL
● EMNLP
● ICASSP
● IJCNN
Who We're Looking For
● Strong mathematical aptitude and analytical thinking.
● Passion for solving challenging AI research problems.
● Curiosity to develop novel AI algorithms grounded in mathematics.
● Excellent problem-solving and critical thinking skills.
● Ability to work independently and collaboratively in a research-driven environment.
● Passion for publishing impactful research and building next-generation AI technologies.
Eligibility
● Candidates with 1–4 years of relevant research or industry experience are encouraged to apply.
● Bright freshers with strong academic credentials, relevant coursework, technical knowledge, and the required skill set are also encouraged to apply.
Work Environment
● Work From Office (WFO)
● 5-day work week
Compensation
CTC: Best in industry, based on experience, research, and technical assessment.
How to Apply
Interested candidates may send their CV to:
adminhr@hbssweb.com
Click on Apply to know more.