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Research Intern - AI

IBM

Updated on: 17 September 2025

Additional Details

Website

www.ibm.com

website

Work Location

Gurgaon, Bengaluru

location

Job Type

Internship + Fte

job_type

Batch

2026 | 2025

batch

Stream Required

Bachelor's Degree

stream

Salary

5-7 LPA (Expected)

salary

Job Description

Introduction

IBM Research - India (https://research.ibm.com/labs/india) invites applications for its Internship Program in Computer Science, Mathematical Sciences including AI, Hybrid Cloud and Quantum Computing at its locations in Gurgaon and Bangalore.

Your role and responsibilities

Summer Internship Program is one of the major activities under the University Relation Program.   IBM Research India offers Summer Internship to the bright students of leading technical Universities in India.   IBM Research India provides industry experience and world class technologies to these students to show their talent.  During internship students work on current projects happening in the lab, they solve problems with the help of their mentors.  Idea is to give industry experience to the students and look for future employees.

Required education

Bachelor's Degree

Required technical and professional expertise

  • Excellent coding skills in Python (including Pandas, NumPy)
  • Strong grasp of Data Structures, Algorithms, Problem Solving
  • Solid foundation in Linear Algebra, Probability, and Statistics
  • Hands-on experience with VS Code, Jupyter Notebooks, Git
  • AI/ML Fundamentals: supervised & unsupervised learning, classification, regression, neural networks, clustering
  • Learning fundamentals and Data Manipulation/Analysis for large datasets
  • Proficiency in AI libraries/frameworks: TensorFlow, PyTorch
  • Experience in Deep Learning, Foundation Models, Large Language Models
  • Familiar with Generative AI frameworks such as langchain and crew.ai
  • Expertise in unstructured data processing
  • Experience working with platforms such as Watsonx.ai or similar 
  • Familiarity with risks associated with AI deployments, including agents going rogue

Preferred technical and professional experience

  • AI libraries/frameworks such as TensorFlow/PyTorch, Jupyter notebooks, Deep learning fundamentals, Data Manipulation and Analysis for large data, tools (pandas, NumPy), linear algebra, probability, statistics, Git, Containerization (Docker/Kubernetes/ Openshift)

 

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