Hiring Interns for NetApp Internship 2024 :
Hire freshmen for internships at NetApp Off Campus Drive in 2024. Applicants may apply if they are currently working toward a bachelor’s or master’s degree in computer science, engineering, or a similar discipline. Below is an in-depth description of the eligibility and application process.
Details of the 2024 NetApp Internship:
Job Role | Intern |
Qualification | Bachelor’s or Master’s degree in computer science, Engineering, or a related field |
Batch | 2025/2026 |
Experience | Freshers |
CTC/Salary | ₹ 4 to 5 LPA (Expected) |
Job Location | Bengaluru |
Job Summary: To join our vibrant team, we are looking for a talented and highly motivated AI intern. Working directly with our functional and technical professionals, you will have the chance to contribute to creating, testing, and delivering diverse AI projects as an intern.
In order to develop cloud-native AI applications, we are looking for interns with experience in machine learning, particularly exploratory knowledge in generative AI. Through this internship, you will gain practical experience in the field of artificial intelligence and have the opportunity to hone your abilities in a real-world environment.
The role of a NetApp intern is to work with the IT and/or marketing teams to find and rank use cases that will benefit from artificial intelligence.
Show that you can solve problems on your own and that you can operate independently.
Contribute to the creation, advancement, and use of AI models and algorithms.
Examine cutting-edge methods for artificial intelligence and contribute to the creation of creative solutions.
Collect, prepare, and evaluate data in order to train and evaluate AI models.
Work together with cross-functional teams to compile and record business needs. Participate in the creation of AI solutions.
Help verify and test AI models to make sure they are accurate and dependable.
Demonstrate a good knack for picking up new technologies and knowing how to apply them to address technical and business issues in the real world.
Keep up with the most recent developments in AI technology and add to the team’s knowledge base.
Keep records of the project’s progress, procedures, and outcomes for stakeholders from the inside out.
Engage in sessions of brainstorming, team discussions, and knowledge-sharing activities.Give a program wrap-up presentation for the IT leadership team at the conclusion of the internship, highlighting the completed projects.
Workplace Prerequisites
presently working toward a bachelor’s or master’s degree in engineering, computer science, or a similar discipline.
knowledge of machine learning principles and techniques or practical experience working on ML/AI/data analytics projects in a university setting.
At least one core programming language (Python, Java, JS, or Go) should be mastered for API development.
familiarity with a user interface framework (like Angular or React JS).
knowledge of SQL.
familiarity with data analytics techniques.
Familiarity with popular machine learning libraries or frameworks, such as TensorFlow, PyTorch, and scikit-learn.
Education and the needed competencies
preliminary understanding of machine learning and distributed computing toolsets (e.g., Generative AI).
It is advantageous if you have experience working on real-world AI projects from a previous internship or outside of the classroom.
How Can I Apply for a 2024 NetApp Internship?
As soon as feasible, all qualified and interested applicants may apply online for the NetApp Internship 2024 at the following link.
Apply Here: CLICK THIS LINK
How should I apply?
Select the “Apply here” link that is provided below.
In the event that you are not already registered, register.After registering, sign in and complete the application by entering all the required information.Send in the necessary paperwork, upon request (resume, mark sheet, proof of ID, etc.).Check to make sure all the information entered is accurate.After verification, submit the application.Please use the comment box to let us understand if you run across any problems applying.