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IBM Internship Openings 2026 | Research Intern – AI (Gurgaon & Bengaluru) | Placement Officer
Summary:
IBM Research - India has launched its
prestigious Summer Internship Program for the role of Research Intern –
AI in Gurgaon and Bengaluru. This is a golden opportunity
for Bachelor's degree students (2025 & 2026 batch) passionate about
Artificial Intelligence, Large Language Models (LLMs), and cutting-edge
research. The internship is a direct pathway to a full-time employment (FTE)
opportunity, with an expected conversion salary of 5-7 LPA. This
guide provides a complete breakdown of the role, including detailed
responsibilities, a rigorous list of required skills, pro tips to craft a
standout application, and answers to all critical FAQs.
Detailed Job Description: Research Intern – AI
Company: IBM Research - India
Role: Research Intern – AI
Locations: Gurgaon, Haryana and Bengaluru, Karnataka
Job Type: Summer Internship with potential for Full-Time Employment
(FTE)
Eligible Batches: 2025, 2026
Expected FTE Salary: 5-7 LPA (Upon successful conversion)
About the Role:
This internship is part of IBM's University Relation Program, designed to identify and nurture top talent. You will be embedded within one of IBM's world-class research teams, working on live projects under the guidance of expert mentors. The goal is twofold: to provide you with unparalleled industry experience and to evaluate you for a future role as a full-time employee at IBM Research.Key Responsibilities:
·
Work on current,
real-world research projects in AI, Hybrid Cloud, or Quantum Computing.
·
Develop and
apply excellent coding skills in Python and its data science
stack (Pandas, NumPy).
·
Implement and
experiment with AI/ML models, including Deep Learning, Foundation
Models, and LLMs.
·
Use generative AI
frameworks like langchain and crew.ai to
build innovative applications.
·
Process and analyze
large, unstructured datasets to derive insights.
·
Collaborate with
researchers using tools like Git, VS Code, and Jupyter Notebooks.
·
Understand and help
mitigate risks associated with AI deployments.
Essential Skills and Eligibility Required
This is a role for technically proficient
candidates. The bar is high, reflecting the research-oriented nature of the
work.
Mandatory Technical Skills:
1. Programming & Core CS:
o Excellent coding skills in Python is
the foremost requirement.
o Mastery of Data Structures,
Algorithms, and Problem-Solving.
2. Mathematical Foundation:
o Solid understanding of Linear
Algebra, Probability, and Statistics.
3. AI/ML Fundamentals:
o Strong grasp of supervised &
unsupervised learning (classification, regression, clustering, neural
networks).
o Hands-on experience with AI
frameworks like TensorFlow or PyTorch.
4. Advanced AI Topics (Crucial for this role):
o Experience or strong familiarity
with Deep Learning, Foundation Models, and Large Language Models (LLMs).
o Familiarity with Generative AI
frameworks such as langchain and crew.ai.
5. Tools & Platforms:
o Proficiency with VS Code, Jupyter
Notebooks, and Git.
o Experience in data manipulation
and analysis for large datasets.
o Experience working with AI platforms
like Watsonx.ai or similar is a significant plus.
Preferred Skills (The Differentiators):
·
Knowledge of containerization
technologies like Docker, Kubernetes, or OpenShift.
·
A deeper
understanding of the risks in AI, such as agents going rogue or model bias.
Eligibility:
·
Currently pursuing
a Bachelor's Degree (Computer Science, Mathematical Sciences,
or related field).
·
Students from
the 2025 and 2026 graduating batches are eligible.
Pro Tips to Apply for the IBM Research Internship
1. Your GitHub is Your Resume: For
a research role, your code speaks louder than words. Ensure your GitHub profile
is polished with projects showcasing:
o Python scripts for data analysis and ML.
o Jupyter notebooks with clear explanations of your
AI/ML projects.
o A project using TensorFlow/PyTorch (e.g.,
image classifier, sentiment analysis).
o A project using LLMs/Generative AI (e.g.,
a chatbot using Langchain, a RAG application, a fine-tuned model). This is
critical.
2. Master the Fundamentals: Be prepared to
be grilled on DSA. Practice problem-solving on platforms like LeetCode and
HackerRank. Revise core math concepts—linear algebra and probability are
essential for understanding AI models.
3. Tailor Your Application: Use keywords
from the JD throughout your resume. Mention specific libraries (PyTorch,
Langchain), concepts (LLMs, Fine-tuning), and tools (Watsonx, Git) you have
experience with.
4. Prepare for Research-Oriented Interviews: Expect
questions about your projects in depth. Be ready to explain:
o Why you
chose a particular model.
o How you would improve your project.
o The trade-offs you considered.
o Your understanding of the latest trends
in AI.
5. Showcase a "Research Mindset": Demonstrate
curiosity. Talk about a recent AI research paper you read or a problem you're
passionate about solving. IBM looks for learners and innovators.
6. Apply Early: The official website (www.ibm.com/careers)
is the only place to apply. Find the listing using the job ID or title and
apply as soon as possible.
Frequently Asked Questions (FAQs)
Q1: Is this internship paid, and what is the full-time salary?
A: Yes, IBM research internships are paid. Upon successful
conversion to a full-time role, the expected annual compensation is
between 5-7 LPA.
Q2: I am a 2024 graduate. Am I eligible to apply?
A: No. This program is specifically for students graduating
in 2025 and 2026.
Q3: What is the duration of the internship?
A: While not explicitly stated, it is typically a summer
internship lasting 2-3 months.
Q4: How strong does my LLM/Generative AI experience need to be?
A: You don't need to have built GPT-4, but you must show hands-on
familiarity. A project using the OpenAI API, Langchain, or Hugging Face
transformers to build a simple application is sufficient to demonstrate
foundational knowledge.
Q5: Does IBM charge any fee for this process?
A: Absolutely not. IBM is an equal opportunity employer and never
asks for money for employment. Any such request is a scam.
Conclusion
The IBM Research Intern – AI position
is more than an internship; it's an audition for a career at the forefront of
technological innovation. It offers a unique chance to work with world-class
researchers on problems that define the future of AI, cloud, and quantum
computing.
For students with a robust technical foundation, a passion for AI, and hands-on project experience, this is an unmissable opportunity. By meticulously preparing your application, showcasing relevant projects, and demonstrating a deep understanding of AI fundamentals, you can take a significant step towards launching your career with a global tech titan like IBM.
🔗 Apply Link: Click Here To Apply for IBM
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Disclaimer
The recruitment details shared above are for
informational purposes only and have been obtained from the organization’s
official website. We do not guarantee any job placements. Recruitment will be
conducted according to the company's official process. We do not charge any
fees for sharing this job information.
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