Applied Scientist, International Machine Learning

Amazon

Bengaluru

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+

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Job summary

Amazon is seeking a skilled individual to join their Machine Learning team in Bengaluru, India. This role involves using machine learning and analytical techniques to create and deploy scalable solutions, analyze business data, and collaborate with engineering teams for real-time implementations. Ideal candidates will have strong programming skills and a background in data analysis.

The successful candidate will work closely with business partners to identify challenging problems and propose innovative solutions that impact the bottom line.

Qualifications

  • Experience programming in Java, C++, Python or a related language.
  • Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse.

Responsibilities

  • Use machine learning and analytical techniques to create scalable solutions.
  • Analyze and extract relevant information from large amounts of data.
  • Design, develop, evaluate and deploy innovative ML models.
  • Work closely with software engineering teams and business partners.

Skills

Programming in Java, C++, Python
SQL and RDBMS experience
Machine learning techniques
Data analysis

Job description

Description

Do you want to 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? Do you want to build and deploy advanced ML systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real‑world problems? Do you like to own end‑to‑end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning team for India Consumer Businesses.

Key job responsibilities

Use machine learning and analytical techniques to create 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, evaluate and deploy innovative and highly scalable ML models

Work closely with software engineering teams to drive real‑time model implementations

Work closely with business partners to identify problems and propose machine learning solutions

Establish scalable, efficient, automated processes for large‑scale data analyses, model development, model validation and model maintenance

Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large‑scale complex ML models in production

Leading projects and mentoring other scientists, engineers in the use of ML techniques

About the team

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. Learn more about our team from https://www.amazon.science/working-at-amazon/how-rajeev-rastogis-machine-learning-team-in-india-develops-innovations-for-customers-worldwide

Basic Qualifications
  • Experience programming in Java, C++, Python or related language
  • Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
Preferred Qualifications
  • Experience implementing algorithms using both toolkits and self‑developed code
  • Have publications at top‑tier peer‑reviewed conferences or journals
Inclusion & Accommodations

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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