Machine Learning Engineer

hace 4 días

Madrid, España Amazon A tiempo completo

.Job ID: 2839145 | Amazon.Com Services LLC - A57Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI, ML and DL algorithms to solve real world problems with significant impact?Amazon is revolutionizing customer service yet again now with cutting edge AI and ML. Device, Digital and Alexa Support (D2AS) is responsible for the Customer Service operations and solutions for all Amazon Devices and Digital products, from Kindle and Echo, to Amazon Music and Prime Video.We're seeking a Machine Learning Engineer to develop cutting-edge AI solutions leveraging Large Language Models (LLM), Machine Learning (ML) and Natural Language Processing (NLP) techniques to understand and resolve customer issues and provide earth's best customer service. We are looking for individuals with a passion for learning, researching, and deploying production-ready science solutions in a highly collaborative environment. We like to ideate, experiment, iterate, optimize and scale quickly, while thoughtfully balancing speed and quality.Key job responsibilitiesIn this role, you will:Use ML and Generative AI tools, such as Amazon SageMaker and Amazon Bedrock, to provide scalable production solutions to improve the customer experience, to label data, build, train, tune and deploy their models.Collaborate with our Applied and data scientists to create and fine tune scalable ML and Generative AI solutions for business problems.Interact with product stakeholders directly to understand the business problem, help and aid them in implementation of their ML ecosystem.Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes.Work closely with science and engineering teams to drive model implementations and new algorithms.A day in the lifeWe thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment.If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please applyBenefits summaryAmazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment

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