Senior Applied Scientist, International Machine Learning

Amazon; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Amazon’s India Consumer Business team invites highly skilled researchers to join a fast-paced ML/Data Science group in Hyderabad. You will design, build and deploy scalable machine learning models that optimize business processes across millions of daily transactions and drive measurable impact on profitability.

The role demands strong deep learning expertise, coding proficiency in Java/C++/Python, and collaboration with software engineers and product teams.

Qualifications

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

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

Skills

Deep learning experience

Education

Master's or PhD

Tools

Java

C++

Python

R

scikit-learn

Spark MLlib

MxNet

TensorFlow

NumPy

SciPy

Hadoop

Spark

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 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.

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.

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.

Company

ADCI - BLR - DTA

Job ID: A10479670