DESCRIPTION This role is to solve business problems in Machine Learning for the Seller and Fulfilment Tech SFT org The overarching goal of the team is to enhance ML expertise and fluency within SFT and across IST championing engineering and operational excellence in ML model development and other related parts of the ML model lifecycle Some of the key areas which the team owns in this space area Selection Recommendations Registration improvements Bad actor detection and prevention Selection economics Inventory recommendation Delivery Promise Predictions Seller success Within the ML space the scientist would have to solve intrinsically hard problems where neither problem nor solution is well defined So the leader should have high focus on building a deep understanding of the ML science space experimentation methodology as well as a high focus on embracing external trends especially applications of GenerativeAI and LLMs A large focus area for the role is to also contribute towards the science and research aspects This role applies and extends existing scientific techniques and invents new ones to address specific customers needs or business problems at a project level This should also lead to regular contributions to internal or external peer-reviewed publications that validate novelty BASIC QUALIFICATIONS 3 years of building models for business application experience PhD or Master s degree and 4 years of CS CE ML or related field experience 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 qualified software development 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

📌 Applied Scientist Ii, Global Trade (Karnataka)
🏢 Amazon.com
📍 Karnataka