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You will closely collaborate with SDS product and engineering teams to design the conversational AI solutions and drive intelligence and innovation in how we improve Amazon driver and recipient experience, build cutting-edge machine learning and generative AI applications to automate and enable self-service for the Amazon Logistics delivery partners, and continuously improves the delivery experience for Amazon drivers and customers.
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Validating and training AI machine learning models with annotated training sets in tuning accuracy of the AI models for CLM use cases;Demonstrating knowledge of machine learning and artificial intelligence workloads and considerations on Azure;Demonstrating knowledge of Azure Blob storage, Azure Service Bus and Azure Key Vault cryptography;Designing solutions for custom applications using the Microsoft.
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We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Demonstrating experience with Agile development frameworks, having lead to completion projects that involved Requirements, Design, Build, Test, Deploy, and Support;Leading and development of proposal content and technical solution questions in response to RFPs;Working with the leadership teams and peers across pursuits, pre-sales activities, and delivery of engagements; and,Working in an onshore-offshore environment and in coordinating activities across time zones.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial IntelligenceProven and thorough knowledge of operational metrics to support strategic plans, dashboard design and benchmarking/standard industry practices.
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Our team helps our clients maximise their available liquidity position and manage financial risk, such as foreign exchange rates, interest rate changes, and commodity price fluctuations, as well as make decisions around funding the core business operations and making investments to increase the value of the organisation to the shareholders.
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Working with Agile development methodologies and product tracking solutions such as Version Control Systems (e.g. Github), Issue Management Systems (e.g. JIRA, Azure DevOps etc.) NET framework on SaaS based CLM solutions, such as Icertis, Agiloft, Coupa, Conga/Apttus, Docusign, Ariba, etc.
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Demonstrating knowledge and success in full implementation projects dealing with technical solution design and development with one or more CLM Platforms, such as: Icertis, Agiloft Coupa, Conga/Apttus, Docusign, Ariba, etc.
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About You:We are looking for a passionate Machine Learning Engineer to build and scale the DTC personalization systems and services for our new global streaming app, Max, as well as any future DTC streaming apps.
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We leverage off the sciences of data, information processing, machine learning, and generative AI to improve user experience, automation, service resilience, and operational efficiency. experience- 4+ years of data scientist experience- Experience with statistical models e.g. multinomial logistic regressionPREFERRED QUALIFICATIONS- 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc.
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Certifications within predictive modeling and/or machine learning platforms such as Python, SAS, etc. We are industry leaders in embedding technology, leveraging data analysis, machine learning, and artificial intelligence for a broad range of Deal-focused solutions.
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Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
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BASIC QUALIFICATIONS•Ph. D. degree in Computer Science, Computer Engineering, Machine Learning, or related field•Typically requires 10+ years of relevant work experience•Excellent publication record of ML and NLP at major conferences that shows breadth and depth•Recognized as a leader in area of specialty (machine learning, Natural Language Processing, etc.
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As part of our finance team, you’ll focus on providing the support companies need in their Finance Transformation journey enabled by Oracle Cloud ERP and EPM. You will be part of a team that helps clients rethink their Finance functions as they leverage new Cloud technology including RPA, Machine Learning and Analytics in conjunction with their ERP platform.
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We help our clients implement and effectively use Oracle offerings to solve their business problems and fuel success in the areas of finance, operations, human capital, customer, and governance, risk and compliance.
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Designed and custom-built by Amazonians, our Dash Cart uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Note: This job is located in Hudson, MA AWS Applications and Higher Level Abstractions (Apps) provides horizontal and industry vertical applications for business users with the same on-demand scalability, reliability, pay-as-you-go pricing, and machine learning expertise that drive AWS services.
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