Amazon Off-Campus Recruitment 2021 |Applied Scientist – Intern| BE/B.Tech| Freshers

About the Company:

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail.

Company NameAmazon
Company Websitewww.amazons.com .
Job LocationBengaluru, Karnataka, India
DegreeBE/B.Tech
Experience0-0 Yrs

Description

Excited by Big Data, Machine Learning and Predictive Software? Interested in creating new state-of-the-art solutions using Machine Learning and Data Mining techniques on Terabytes of Data?

At Amazon Bangalore, we are developing state-of-the-art large-scale Machine Learning Services and Applications on the Cloud involving Terabytes of data. We work on applying predictive technology to a wide spectrum of problems in areas such as Amazon Retail, Seller Services, Customer Service, Alexa, Chatbots and so on. We are looking for talented and experienced Machine Learning Scientists (Ph.D. in a related area preferred) who can apply innovative Machine Learning techniques to real-world e-Commerce problems. You will get to work in a team dedicated to advancing Machine Learning technology at Amazon and converting it to business-impacting solutions.

Major responsibilities

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

Basic Qualifications

BASIC QUALIFICATIONS

  • A Masters and/or PhD in CS, Machine Learning, Operational research, Statistics or in a highly quantitative field.
  • Experience in predictive modelling and analysis, predictive software development.
  • Strong problem-solving ability
  • Good skills with Java/Scala or C++, Perl/Python (or similar scripting language)
  • Experience in using R, Matlab, or any other statistical software
  • Strong communication and data presentation skills

Preferred Qualifications

PREFERRED QUALIFICATIONS

  • Experience handling gigabyte and terabyte size datasets
  • Experience working with distributed systems and grid computing
  • Knowledge of the latest and state of the art ML technology.
  • Publications or presentation in recognized Machine Learning and Data Mining journals/conferences

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