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Intern

NetApp

Updated on: 04 May 2025

Additional Details

Website

www.netapp.com

website

Work Location

Bengaluru, India

location

Job Type

Internship + Fte

job_type

Batch

2026 | 2025

batch

Stream Required

Masters in computer science, Engineering, Applied Mathematics/ Statistics/Data Science

stream

Salary

60K/month(Stipend)[Expected]

salary

Job Description

At NetApp, we have a history of helping customers turn challenges into business opportunities. That’s because we bring new thinking to age-old problems, like how to use data most effectively in the most efficient possible way. As an Engineer with NetApp, you’ll have the opportunity to work with modern cloud and container orchestration technologies in a production setting. You’ll play an important role in scaling systems sustainably through automation and evolving them by pushing for changes to improve reliability and velocity.

Job Summary

NetApp is seeking a capable Data & Applied Scientist Intern to join their newly formed Data Services organization. The overarching vision of this organization is to empower organizations to effectively govern their data estate to accelerate their digital transformation journey. To get to this vision, we will embark on an AI-first approach to build and deliver world-class suite of data services. As part of this initiative, the Data & Applied Scientist Intern will be collaborating with other data scientists and engineers for developing and implementing cutting edge AI/ML algorithms/frameworks across the key pillars of data protection, privacy and compliance.

Job Requirements

•    Assist in the development of supervised/unsupervised machine learning and deep learning models across the areas of general machine learning and natural language processing. 
•    Assist in the design and development of large and complex proof-of-concepts.
•    Assist in the development of end-to-end ML pipelines. 
•    Any relevant industry experience in AI/ML, with a track record of research or shipping successful products at scale.
•    Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization.

Education

•    Individuals pursuing Master’s in computer science, Engineering, Applied Mathematics/ Statistics/Data Science, or any quantitative field with a focus on AI/ML in both supervised and unsupervised machine learning techniques and algorithms.

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer:

NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification.

Why NetApp?

We are all about helping customers turn challenges into business opportunity. It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better - but also to innovate. We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches.

We enable a healthy work-life balance. Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations. We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future. We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life.

If you want to help us build knowledge and solve big problems, let's talk.

Submitting an application

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