Applied Scientist II, International Machine Learning
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science
In short
Join Amazon's International Machine Learning team in Karnataka, India, to build and deploy state-of-the-art ML systems for customers. You will analyze vast amounts of data, develop scalable solutions, and directly impact business profitability by optimizing processes and creating innovative models.
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.
- Lead projects and mentor other scientists and engineers in the use of ML techniques.
Requirements
- 3+ years of building models for business application experience.
- PhD, or Master's degree.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
- Experience programming in Java, C++, Python or related language.
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
Desired Qualifications
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning.
- Experience applying theoretical models in an applied environment.
Benefits
- Inclusive culture empowers Amazonians to deliver the best results for our customers.
- Workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process.
#machine learning#big data#quantitative sciences#recommendation engines#fraud detection#optimization#risk models#product attribute extraction#customer suggestions#India#emerging markets#MENA#LatAm
Company
Amazon
Job Posted
3 weeks ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Bengaluru, India
Qualification
Master, Doctoral
Applicants
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