Applied Scientist Internship

Location(s): Bangalore
Category: Operations
Applications Start Date: 13 July 2019
Degrees: B.E. / B.Tech, M.E
Stipend: 5K - 10K
Duration: 180 days Negotiable
Last Date To Apply: 27 July 2019
Mode of Interview: Face-to-Face
Available Slots: 2

Intern Responsibilities

At Amazon (Karnataka) Interns are expected to be professionally well-versed with basic ethics, which includes arriving on time (as specified by the company), notifying the team leader of any deviations from the established schedule, and dressing to the standards of the organization and the work being performed. Respect the organization’s reporting structure and follow the policies and procedures of the organization.

During the internship tenure, intern will be working on following verticals (in group or individually):

1. Use machine learning, data mining and statistical techniques to create new, scalable solutions for business problems.
2. Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes.
3. Design, develop and evaluate highly innovative models for predictive learning.
4. Establish scalable, efficient, automated processes for large scale data analyses model development, model validation and model implementation.
5. Research and implement novel machine learning and statistical approaches.

Perks and Benefits

Experience Letter

Internship Certificate

Program Outcomes

Additional Instructions

1. Selected candidates for Applied Scientist at Amazon will require to bring supporting documentation which includes all the marksheets, updated resume, certificates, recommendations letter (if any), etc.
2. Candidates currently pursuing their graduation or recent graduates can apply to this internship.

About Company

Amazon.com, Inc., is an American multinational technology company based in Seattle, Washington that focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It is considered one of the Big Four technology companies along with Google, Apple, and Facebook.

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Apply now, before this opening flies away.