IBM Internships 2024 | Three Roles | Apply Now!

IBM Internships 2024 started with three roles. All the details are given below. Please check and apply as soon as possible.

IBM Research Intern AI – IBM Internships 2024

Your Role and Responsibilities

The Summer Internship Program is a cornerstone of our University Relations program. IBM Research India provides internships to the best students from Tier-1 technical universities in India. Students get a chance to have real experience of industry-level work through work with advanced technologies. Tasks would include paying free intern jobs at the laboratory with ongoing projects, where problems are solved in a high-impact domain under the guidance of a mentor. The overall goal is to offer insight into the industry and identify potential future employees.

Required Skills

• Proficiency in Java and Python including knowledge of pandas. NumPy.
• Data Structures, Algorithms, and a good problem-solving approach.
• Background in linear algebra, probability, and statistics.
• Hands-on experience with tools such as VS Code, Jupyter notebooks, and Git.
• Understanding of AI/ML concepts such as supervised and unsupervised learning, classification, regression, neural networks, and clustering.
• Data analysis and manipulation with large datasets.
• Knowledge of AI libraries such as TensorFlow or PyTorch and deep learning. Foundation Models, Large Language Models.
• Experience with AI platforms such as Watsonx.ai or similar alternatives

Technical Requirements

• Hands-on experience with AI/ML frameworks such as TensorFlow or PyTorch
• Proficiency with Jupyter notebooks and deep learning techniques
• Skilled in data manipulation tools like pandas and NumPy, along with statistical methods
• Familiarity with version control (Git) and containerization tools like Docker, Kubernetes, or Openshift.

IBM Research Intern Security – IBM Internships 2024

Role and Responsibilities

This program is open to students from the premier technical universities of India on invitation, and they have been selected strictly based on their performance. The program offers an industry-relevant journey and the ability to exhibit top-end technology with some exposure back to the future stars. Under the guidance of mentors, interns are assigned to ongoing projects within the lab and work on problems that can be solved in real-world terms. Its goal is to give them real-world experience in the industry and to identify possible future hires.

• Top-notch programming skills in Java or Python (with pandas, and NumPy experience)
• Strong in Data Structures, Algorithms, and Problem Solving.
• Linear algebra, probability, statistics
• Experience with tools like VS Code, Jupyter Notebooks, and Git
• Knowledge of discrete mathematics, cryptography (encryption, decryption, key management set-up, and cryptographic algorithms like AES, RSA, ECC), Basic knowledge of operating systems, and network security.
• Proficient with Java / Python, Data Structures & Algorithms also Problem Solving and Competitive programming.
• Understand AI and machine learning concepts i.e. Supervised/unsupervised learning, classification, regression, neural networks, clustering
• Proficient in AI libraries and frameworks (eg Tensorflow, Pytorch)
• Familiar with principles of Deep Learning, Working in both small and large-scale data manipulation and analysis (pandas, NumPy)
• Skilled in Linear Algebra, Probability and Stats, and Git (or other version control.)
• Experience with Docker, Kubernetes, and/or OpenShift

IBM Internships 2024 – Research Intern Quantum

• Highly developed Java and Python coding (pandas, NumPy)
• Knowledgeable in Datastructures, Algoségorim, And Problem-solving
• Linear algebra, probability, and statistics
• Background with VS Code, Jupyter Notebooks, Git
• Quantum Circuits, Quantum Simulators, Algorithms, Quantum Mechanic, and Complex Analysis
• Fundamentals of Security Principles
• Practice with Java/Python, Data Structures, and Algorithms
• Familiarity with AI/ML concepts such as supervised/unsupervised learning, classification, regression, neural networks, and clustering.
• Experience with AI frameworks (TensorFlow, PyTorch)
• Deep Learning Concepts and dealing with big data using pandas/NumPy
• Proficient in Linear Algebra, Probability and Statistics
• Experience working with Git and container technologies (Docker, Kubernetes, OpenShift)

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