Srinagar: Hello Readers, Welcome To JKBOSE Store, In This Article I, Mufayaiz Wani, Present the Unmissable Opportunity at Amazon’s Internship for Aspiring Data Scientists in 2023.
Amazon, a global e-commerce giant renowned for pioneering innovation, extends an incredible opportunity for aspiring Data Scientists through its Data Scientist Internship program in Bengaluru. This internship not only provides hands-on experience but also offers a substantial stipend of up to Rs. 60,000.
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Data Scientist Intern Role Overview
Are you passionate about crafting cutting-edge Machine Learning, Natural Language Processing (NLP), Deep Learning, and Computer Vision algorithms? Amazon’s internship beckons individuals to delve into vast datasets and solve real-world challenges while collaborating with industry experts.
Responsibilities of a Data Scientist Intern
This role centers on infusing statistical modeling and machine learning advancements into data analytics for customer-centric solutions. Interns collaborate within a dynamic, cross-disciplinary team, delivering innovative solutions by distilling real-world requirements.
Eligibility Criteria and Preferred Qualifications
Enrolled students pursuing degrees in Electrical Engineering, Computer Science, or related fields specializing in machine learning, NLP, ASR, deep learning, or computer vision qualify. Proficiency in programming languages like C/C++, Java, or Python and practical machine learning expertise is essential. Research exposure in relevant fields or contributions to top-tier conferences provide added advantage.
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Application Process and Duration
Applicants meeting the criteria can apply via the Amazon Jobs website by submitting resumes, cover letters, and transcripts. The application deadline for this two-month program, spanning from December 1st to January 31st, is approaching fast.
Engage, Apply, and Innovate!
This internship at Amazon serves as a gateway for individuals to immerse themselves in groundbreaking projects, shape their careers in tech, and make substantial impacts in the realm of data science and machine learning. Seize this opportunity to apply technology for real-world solutions at one of the world’s leading tech giants.
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