Job Description: We are looking for an Applied Scientist to build efficient and scalable machine learning systems to keep amazon the safest and most trusted place to shop online. In this role, you will work closely with scientists, economists and engineers to build end-to-end ML solutions that have immediate impacts on amazon customers. Job Responsibilities: Develop and deploy real-time ML models using AWS services. Develop NLP and deep learning models to extract insights from customer feedback. Apply the state-of-the art Computer Vision technique to develop a highly scalable ML solution for product authentication. Build the next generation of risk monitoring system using predictive modeling, graph mining and unsupervised learning techniques. Qualification & Experience: PhD in Computer Science, Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with at least 2 years of working experience as Data/Research/Applied Scientist. Hands-on experience in developing machine learning models using Python, R, Java or other programming languages. 3+ years of relevant ML research experience in industry and/or academia. Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders. Master's degree in Computer Science, Statistics, Applied Math, Operations Research, Economics, or a related quantitative field. Ability to self-direct, multitask, and prioritize a constantly evolving workload. Extensive experience applying theoretical models in an applied environment. Extensive knowledge and practical experience in Computer Vision. Job Details: Company: Amazon Vacancy Type: Full Time Job Location: San Diego, CA, US Application Deadline: N/A Apply Here getyourvacancy.com
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