Applied Scientist, International Machine Learning

Amazon

Ka, IN, United States
On-site
Machine learning and statistical techniques
Analyze and model terabytes of data
Build and deploy advanced ml systems
Amazon is seeking an Applied Scientist for their International Machine Learning team in Ka, IN, to develop innovative machine learning solutions aimed at enhancing customer experiences and optimizing business processes. Candidates will leverage their expertise in machine learning and data analysis to tackle significant challenges in a dynamic environment

Job Summary

  • Join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers.
  • As part of the India Machine Learning team, you will get to work alongside brilliant minds motivated to solve real-world machine learning problems that make a difference to millions of our customers.
  • The International Machine Learning Team is responsible for building novel ML solutions that attack India first (and other Emerging Markets across MENA and LatAm) problems and impact the bottom-line and top-line of India business.

Matching Summary

Match Score: 85

Amazon is seeking an Applied Scientist for their International Machine Learning team in Ka, IN, to develop innovative machine learning solutions aimed at enhancing customer experiences and optimizing business processes. Candidates will leverage their expertise in machine learning and data analysis to tackle significant challenges in a dynamic environment.

Skills & Requirements

Must-have

  • Machine learning and statistical techniques
  • Analyze and model terabytes of data
  • Build and deploy advanced ML systems
  • End-to-end business problems/metrics
  • Scalable ML solutions for business problems
  • Real-time model implementations

Nice-to-have

  • Innovate and simplify
  • Thought leadership and blue ocean thinking
  • Eagerness of a fresh startup
  • Scale of a mature firm

Key Requirements

  • Leading projects and mentoring scientists
  • Work proactively with engineering teams

Work Rights

Not specified

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