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Job Location | Hyderabad |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | IT - Software |
Functional Area | Bio Tech / R&D / Scientist |
EmploymentType | Full-time |
Amazon s location and predictive routing inputs play a crucial role in our vehicle routing problems and other critical applications for Amazon , Prime Now, and other Amazon businesses. As part of the Last Mile Science & Technology organization, you ll partner closely with ML and Operations Research scientists as well as scientists from other disciplines (e.g. economics and statistics) in a collegial environment with a clear path to business impact. You will be responsible for developing new predictive and optimization models and algorithms for key applications. You will be expected to be a thought leader as we chart new courses with our delivery support technologies. Successful candidates will have a deep knowledge of competing statistical and machine learning methods for large scale prediction problems, the ability to map models into production-worthy code, the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers, and the excitement to take iterative approaches to tackle big, long term problems.Basic Qualification:PhD in Computer Science, Mathematics, Statistics, or other quantitative field with exposure to statistical modeling and machine learning 3+ years of applying machine learning for solving real-world problems in industry Proficiency in C/C++, Java, or Python Proficiency with at least one machine learning or statistical modeling library (R, Matlab, Scikit-learn) Past delivery of large-scale ML solutions for complex business problems Outstanding written and verbal communication skillsPreferred Qualifications:Publications in top ML conferences or journals Experience with a popular deep learning toolkit (TensorFlow, MXNet, PyTorch, Caffe etc), PhD in Computer Science, Mathematics, Statistics, or other quantitative field with exposure to statistical modeling and machine learning 3+ years of applying machine learning for solving real-world problems in industry Proficiency in C/C++, Java, or Python Proficiency with at least one machine learning or statistical modeling library (R, Matlab, Scikit-learn) Past delivery of large-scale ML solutions for complex business problems Outstanding written and verbal communication skills Publications in top ML conferences or journals Experience with a popular deep learning toolkit (TensorFlow, MXNet, PyTorch, Caffe etc)
Keyskills :
hplc research java ehiclerouting deeplearning optimizationmodels statisticalmodeling optimizationstrategies operationsresearch