ADCI
E-Commerce
AppliedScientist,BusinessDataTechnologies
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Applied Scientist, Business Data Technologies at ADCI. Skills: GenAI, NLP, Computer Vision, Machine Learning. Design and deploy scalable GenAI, NLP and Computer. Develop novel LLM, deep learning and statistical techniques”
What You'll Achieve.
Impact the content visible to millions of customer; Solve key customer experience issues; Impact the large product strategy; Identify new business opportunities; Provide strategic direction
Industry & Context.
Problem solving
What They're Looking For.
Must Have
Bachelor's degree in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields, 2+ years of relevant applied science research experience with a Masters’ degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in machine learning, NLP, Computer Vision, deep or related fields, Excellent communication skills
Nice to Have
Publications at top-tier peer-reviewed conferences or journals, Verbal/written communication skills, including an ability to effectively collaborate with both research and technical teams, Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field, Solid understanding of machine learning, deep learning algorithms and computational complexity, CS fundamentals in data structures, problem solving, algorithm design and complexity analysis
What You'll Do.
Design and deploy scalable GenAI
deep learning and statistical techniques
Define the research and experiments strategy
Execute iteratively to develop AI/ML models
Progressively improve the results over time
Partner with business and engineering teams
Identify and solve large and significantly complex problems
Publish research work
How You'll Work.
Team & Collaboration
Collaborate with business and engineering teams
Communication Scope
Excellent communication skills; Verbal/written communication skills
Full Job Description
RBS (Retail Business Services) Tech team works towards enhancing the customer experience (CX) and their trust in product data by providing technologies to find and fix Amazon CX defects at scale. Our platforms help in improving the CX in all phases of customer journey, including selection, discoverability & fulfilment, buying experience and post-buying experience (product quality and customer returns). The team also develops GenAI platforms for automation of Amazon Stores Operations. As a Sciences team in RBS Tech, we focus on foundational ML research and develop scalable state-of-the-art ML solutions to solve the problems covering customer experience (CX) and Selling partner experience (SPX). We work to solve problems related to multi-modal understanding (text and images), task automation through multi-modal LLM Agents, supervised and unsupervised techniques, multi-task learning, multi-label classification, aspect and topic extraction for Customer Anecdote Mining, image and text similarity and retrieval using NLP and Computer Vision for product groupings and identifying duplicate listings in product search results. Key job responsibilities As an Applied Scientist, you will be responsible to design and deploy scalable GenAI, NLP and Computer Vision solutions that will impact the content visible to millions of customer and solve key customer experience issues. You will develop novel LLM, deep learning and statistical techniques for task automation, text processing, image processing, pattern recognition, and anomaly detection problems. You will define the research and experiments strategy with an iterative execution approach to develop AI/ML models and progressively improve the results over time. You will partner with business and engineering teams to identify and solve large and significantly complex problems that require scientific innovation. You will independently file for patents and/or publish research work where opportunities arise. The RBS org deals with probl
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