IBM is Hiring Freshers – Research Intern AI | Remote

Introduction
At IBM, work is greater than a job – it’s a calling: To construct. To design. To code. To seek the advice of. To suppose together with shoppers and promote. To make markets. To invent. To collaborate. Not simply to do one thing higher, however to try belongings you’ve by no means thought attainable. Are you prepared to guide on this new period of know-how and clear up a few of the world’s most difficult issues? In that case, lets speak

Your Position and Tasks

Summer time Internship Program is one of many main actions underneath the College Relation Program. IBM Research India provides Summer time Internship to the brilliant college students of main technical Universities in India. IBM Research India gives trade expertise and world class applied sciences to those college students to indicate their expertise. Throughout internship college students work on present tasks taking place within the lab, they clear up issues with the assistance of their mentors. Thought is to present trade expertise to the scholars and search for future workers.

• Development Path
• Could be transformed to common rent primarily based on efficiency
• Abilities required
• Glorious coding abilities in Java/Python (together with pandas, NumPy), Information Buildings, Algorithms, Drawback Fixing, linear algebra, chance, statistics, Expertise with VS Code, Jupyter notebooks,Git
• AI/ML fundamentals (supervised and unsupervised studying, classification, regression, neural networks, clustering and so on), Studying fundamentals, Information Manipulation and Evaluation for big information, AI libraries/frameworks resembling TensorFlow/PyTorch, Deep Larning, Basis Fashions, Massive Language Fashions, Expertise of working with platforms resembling Watsonx.ai or comparable

Required Technical and Skilled Experience

• Glorious coding abilities in Java/Python, Information Buildings, Algorithms, Drawback Fixing, AI/ML fundamentals (supervised and unsupervised studying, classification, regression, neural networks, clustering and so on)

Most well-liked Technical and Skilled Experience

• AI libraries/frameworks resembling TensorFlow/PyTorch, Jupyter notebooks, Deep studying fundamentals, Information Manipulation and Evaluation for big information, instruments (pandas, NumPy), linear algebra, chance, statistics, Git, Containerization (Docker/Kubernetes/ Openshift)