Senior Applied Scientist, International Machine Learning

Amazon· Applied Science
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📍 Bengaluru, Karnataka, INDfull time
Applied Scienceretail

About this role

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 algorithmic 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 and Data Sciences team for India Consumer Businesses.
If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.
Major 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, development, evaluate and deploy innovative and highly scalable models for predictive learning

- Research and implement novel machine learning and statistical approaches

- Work closely with software engineering teams to drive real-time model implementations and new feature creations

- Work closely with business owners and operations staff to optimize various business operations

- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation

- Mentor other scientists and engineers in the use of ML techniques


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

- 7+ years of building machine learning models for business application experience
- PhD, or Master's degree
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

Preferred qualifications

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.

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.

Frequently Asked Questions

Is the salary disclosed for the Senior Applied Scientist, International Machine Learning position at Amazon?
The salary for this Senior Applied Scientist, International Machine Learning role at Amazon is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Senior Applied Scientist, International Machine Learning position at Amazon located?
This Senior Applied Scientist, International Machine Learning role at Amazon is based in Bengaluru, Karnataka, IND. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Senior Applied Scientist, International Machine Learning role at Amazon full-time or part-time?
This is listed as a full time position. It is posted as a Senior Applied Scientist, International Machine Learning role in the Applied Science department at Amazon.
Which team or department does the Senior Applied Scientist, International Machine Learning at Amazon belong to?
This Senior Applied Scientist, International Machine Learning position is part of the Applied Science department at Amazon. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Senior Applied Scientist, International Machine Learning position at Amazon?
Click the "Apply Now" button on this page. You will be redirected to Amazon's official application portal hosted on amazonjobs where you can submit your application directly.
When was the Senior Applied Scientist, International Machine Learning job at Amazon posted?
This Senior Applied Scientist, International Machine Learning position at Amazon was posted on Jul 21, 2026. Apply as soon as possible — early applications are often reviewed first.
Senior Applied Scientist, International Machine Learning
Amazon
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