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Amazon Corporate LLC CSAT Machine Learning And Forecast Solution Architect in Denver, Colorado

This position can be remote, but candidates must be based near an AWS officelocation (Arlington, Atlanta, Austin, Boston, Chicago,Cupertino, Dallas, Denver, East Palo Alto, Herndon, Houston,Irvine, Minneapolis, New York City, Portland, San Diego, SanFrancisco, Washington D.C., Sunnyvale, Santa Monica, Seattle).Do you enjoy working with data to help customers optimize processes usingMachine Learning? Have you spent hours putting an analysis together andchallenged key parameters only to see if they matter? Have you debated usingpercentage errors or root mean square errors? Or precision at 5 Vs.precision at 30? Come work with us!As a Specialist Solutions Architect, you will continuously sharpen yourknowledge around the end-to-end model development lifecycle from datapreparation and feature engineering to model development and retraining. Youwill use your expertise to guide customers how to operate ML solutions.As a trusted advisor for AI/ML, you will share recommendations aroundsecurity, cost, performance, reliability and operational efficiency toaccelerate innovative and mission-critical projects our customers arebuilding.Internally, you will be the voice of the customer. You will articulatecustomer needs by synthesizing your observations from customer engagements andmarket trends around ML workloads to inform the roadmap of AWS features.You will lead the creation and sharing of best practices, technical contentand new reference architectures (e.g. white papers, code samples, blogposts) and evangelize and educate about AWS technology and industry trendsin the AI/ML space using public speaking and content engagements likeworkshops, user group meetings, online videos, and conferences.If you like talking about about the art of the possible, while challengingthe impossible, come build the future with us.Responsibilities* Work with customers' data science and development teams along withbusiness stakeholders to understand their optimization needs.* Design working prototypes, reference examples, proofs of concept thatmake the best use of AWS offerings like Amazon Personalize, AmazonForecast, and Amazon SageMaker.* Produce and validate reference architecture implementations,CloudFormation templates, and blog posts to evangelize design patterns andbest practices for applying AWS AI and ML services to help customers indifferent vertical segments like consumer packaged goods, retail,manufacturing, healthcare, and life sciences.* Act as a technical liaison between customers and the AWS product teams toprovide customer driven product improvement feedback.* This is a customer facing role. You will be required to travel to meetcustomers when needed (and it is safe to do so).Basic Qualifications* Bachelor's degree in Computer Science, Engineering, Mathematics or arelated field or equivalent professional or military experience* 2+ years of experience working with customers in industries such asManufacturing, Retail, Wholesale, CPG, Pharmaceuticals, LifeSciences, Service Parts Planning on their fulfillment based operationalprocess* Ability to engage business users on value-based process improvementdiscussions in addition to engaging data science and IT organizationsinternally and externally* 1 + years of experience in design/implementation/consulting forMachine Learning/AI/Deep Learning solutions* Experience working with, at least, one modern programming language suchas Python, Node.js, Go, Java, .Net, C# along with data queryinglanguages (e.g. SQL, Hadoop/Hive, Scala) andstatistical/mathematical software (e.g. R, Matlab, Stata)* Over a year of experience with one or more Deep Learning frameworks such asApache MXNet, TensorFlow, Caffe2, Keras, Microsoft CognitiveToolkit, Torch and TheanoAmazon is committed to a diverse and inclusive workplace. Amazon is an equalopportunity employer and does not discriminate on the basis of race,national origin, gender, gender identity, sexual orientation,protected veteran status, disability, age, or other legal

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