Want Job Alerts? Join UsNetApp Internship 2025 Hiring Details:
About NetApp
NetApp is the intelligent data infrastructure company, turning a world of disruption into opportunity for every customer. No matter the data type, workload or environment, we help our customers identify and realize new business possibilities. And it all starts with our people. If this sounds like something you want to be part of, NetApp is the place for you. You can help bring new ideas to life, approaching each challenge with fresh eyes. Of course, you won’t be doing it alone. At NetApp, we’re all about asking for help when we need it, collaborating with others, and partnering across the organization – and beyond.
Job Profile: Intern
Degree Required: M.E/M.Tech/M.Sc
Experience Required: Freshers
CTC: Best in Industry
Work Location: Bangalore
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.
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Note: Shortlisted candidates will receive an email/call for the further interview process.