Senior Applied Scientist , Buyer Risk Prevention (brp)

Amazon Amazon · Big Tech · IN, KA, Bengaluru · Applied Science

Senior Applied Scientist role focused on developing and deploying large-scale machine learning systems for fraud and risk prevention in an e-commerce environment. The role involves leading scientific strategy, designing and deploying ML systems, and leveraging Generative AI and LLMs to build next-generation platforms. It requires experience in building ML models, deep learning, and programming languages.

What you'd actually do

  1. Lead the end-to-end scientific strategy for large-scale fraud and risk modeling initiatives
  2. Define problem statements, success metrics, and long-term modeling roadmaps in partnership with business and engineering leaders
  3. Design, develop, and deploy highly scalable machine learning systems in real-time production environments
  4. Drive innovation using advanced ML, deep learning, and GenAI/LLM technologies to automate and transform risk evaluation
  5. Influence system architecture and partner with engineering teams to ensure robust, scalable implementations

Skills

Required

  • building machine learning models for business application experience
  • PhD, or Master's degree and 6+ years of applied research experience
  • Experience programming in Java, C++, Python or related language
  • Experience with neural deep learning methods and machine learning

Nice to have

  • 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.

What the JD emphasized

  • building machine learning models for business application experience
  • advanced ML, deep learning, and GenAI/LLM technologies

Other signals

  • large-scale risk management systems
  • fraud and risk modeling
  • Generative AI and LLMs
  • next-generation risk prevention platforms