Research Intern AI

Introduction
At IBM work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so lets talk.

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.
Growth Path
Can be converted to regular hire based on performance
Skills required

• Excellent coding skills in Java/Python (including pandas NumPy) Data Structures Algorithms Problem Solving linear algebra probability statistics Experience with VS Code Jupiter notebooks It
• AI/ML fundamentals (supervised and unsupervised learning classification regression neural networks clustering etc) Learning fundamentals Data Manipulation and Analysis for large data AI libraries/frameworks such as TensorFlow/Py Torch Deep Larning Foundation Models Large Language Models Experience of working with platforms such as Watsonx.ai or similar

Required Technical and Professional Expertise
Excellent coding skills in Java/Python Data Structures Algorithms Problem Solving AI/ML fundamentals (supervised and unsupervised learning classification regression neural networks clustering etc)

Preferred Technical and Professional Expertise
AI libraries/frameworks such as TensorFlow/Py Torch Jupiter notebooks Deep learning fundamentals Data Manipulation and Analysis for large data tools (pandas NumPy) linear algebra probability statistics Git Containerization (Docker/Kubernetes/ OpenShift)