IBM Internships 2024 | AI Internships | Apply Now!

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

IBM, a global technology leader, is offering an exciting internship opportunity for freshers and students interested in Artificial Intelligence (AI). This internship is ideal for those looking to gain hands-on experience at one of the world’s leading research organizations. Below are the details:

Company Name: IBM
Website: www.ibm.com
Job Role: Research Intern AI
Work Location: Across India
Experience: Freshers / Students
Qualification: Bachelor’s degree / Graduation / Post-Graduation

  1. Role Overview: As a Research Intern AI at IBM, you will work on innovative AI projects, collaborate with world-class researchers, and contribute to solving real-world problems using cutting-edge AI technologies.
  2. Work Environment: The internship provides a collaborative environment where interns can work on challenging projects and learn from experienced professionals. You will get a chance to be a part of a diverse team that pushes the boundaries of AI research.
  3. Learning Opportunities: Interns will have access to IBM’s extensive resources, including advanced AI tools and frameworks. This is a great opportunity to enhance your skills in machine learning, deep learning, natural language processing, and other AI-related fields.
  4. Mentorship: Interns will receive guidance from IBM researchers who are experts in their fields. This mentorship will help shape your research skills and career path in AI.
  5. Project Contribution: Interns are expected to contribute significantly to ongoing research projects, and their work may lead to publications or patents. This experience can be a valuable addition to your academic and professional portfolio.
  6. Networking: Being an intern at IBM allows you to build connections with industry professionals and fellow interns, providing a platform to exchange ideas and collaborate on groundbreaking research.
  7. Eligibility Criteria:
    • Open to students pursuing a Bachelor’s, Master’s, or PhD degree in a relevant field.
    • Strong analytical and programming skills, with a passion for AI research.
    • Good communication skills and the ability to work in a team.
  8. How to Apply: Interested candidates can apply through IBM’s official careers page or university recruitment programs. Ensure your resume highlights relevant academic projects, skills, and any prior research experience.
  • Global Exposure: IBM’s global reach and cutting-edge research provide unparalleled exposure to AI developments.
  • Innovation: Be part of a company that consistently ranks among the top in AI research and innovation.
  • Career Growth: This internship can serve as a stepping sto

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.

  • 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
  • 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.
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