Applied Scientist II, Buyer Risk Prevention (BRP)

Amazon Inc.; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Amazon BRP is seeking an Applied Scientist to design, develop, and deploy advanced machine learning systems that safeguard transactions and enable a trusted shopping experience in Bengaluru.

You will own ML models from problem formulation to production, leveraging GenAI/LLMs to enhance fraud detection and risk prevention, and collaborate with software engineers to implement scalable, real-time solutions.

Qualifications

• 3+ years of building models for business applications
• PhD or Master’s degree
• Patents or publications in top-tier peer-reviewed venues
• Programming in Java, C++, Python or related language
• Experience in algorithms, data structures, numerical optimization, data mining, parallel and distributed computing, HPC

Responsibilities

• Own end-to-end development of ML models for large-scale risk management systems
• Analyze large volumes of historical and real-time data to identify fraud patterns and risk trends
• Design, develop, validate, and deploy models to production environments
• Apply GenAI/LLM technologies to automate risk evaluation and improve efficiency
• Collaborate with software engineers to implement scalable, real-time model solutions
• Translate risk insights into measurable business impact with stakeholders
• Establish scalable processes for data analysis, model experiments, validation, and monitoring
• Track model performance and communicate insights to technical and non-technical audiences
• Research and implement novel ML and statistical methodologies

Skills

ML model development

Data analysis

Production deployment

GenAI/LLMs

Collaboration

Education

PhD or Masters

Tools

Java

C++

Python

Job description

Do you want to join an innovative team of scientists applying machine learning and advanced statistical techniques to protect Amazon customers and enable a trusted eCommerce experience?

Are you excited about modeling terabytes of data and building state-of-the-art algorithms to solve complex, real-world fraud and risk challenges?

Do you enjoy owning end-to-end machine learning problems, directly influencing customer experience and company profitability, while collaborating in a diverse, high-performing team?

If so, the Amazon Buyer Risk Prevention (BRP) Machine Learning team may be the right fit for you. We are seeking an Applied Scientist to design, develop, and deploy advanced algorithmic systems that safeguard millions of transactions every day.

In this role, you will independently drive model development from problem formulation to production deployment, build scalable ML solutions, and leverage emerging technologies—including Generative AI and LLMs—to enhance fraud detection and next-generation risk prevention systems.

Key job responsibilities

• Own end-to-end development of machine learning models for large-scale risk management systems
• Analyze large volumes of historical and real-time data to identify fraud patterns and emerging risk trends
• Design, develop, validate, and deploy innovative models to production environments
• Apply GenAI/LLM technologies to automate risk evaluation and improve operational efficiency
• Collaborate closely with software engineering teams to implement scalable, real-time model solutions
• Partner with operations and business stakeholders to translate risk insights into measurable impact
• Establish scalable and automated processes for data analysis, model experimentation, validation, and monitoring
• Track model performance and business metrics; communicate insights clearly to technical and non-technical stakeholders
• Research and implement novel machine learning and statistical methodologies

Basic Qualifications

• - 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

Preferred Qualifications

• - Experience using Unix/Linux
• - Experience in professional software development
• - Experience in software development and delivery

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.