Data Scientist, Generative AI Innovation Center

Are you interested in working at the forefront of Machine Learning and AI? Are you excited about using cutting-edge Generative AI algorithms to solve real-world problems with significant impacts? The Generative AI Innovation Center at AWS is a new strategic team that assists AWS customers in implementing Generative AI solutions and realizing transformative business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that leverage the power of generative AI. The team aids customers in imagining and outlining the use cases that will produce the most value for their businesses, choosing and training the correct models, setting paths to navigate technical or business challenges, developing proof-of-concepts, and formulating plans for launching solutions at scale. The GenAI Innovation Center team offers guidance on best practices for responsibly and cost-effectively applying generative AI. You will work directly with customers and innovate in a fast-paced organization that contributes to groundbreaking projects and technologies. You will design and run experiments, research new algorithms, and identify new ways to optimize risk, profitability, and customer experience. We’re seeking ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities: As an ML Data Scientist, you will: * Collaborate with ML scientists and architects to Research, design, develop, and critique cutting-edge generative AI algorithms to tackle real-world difficulties. * Engage with customers directly to understand the business problem, assist them in implementing generative AI solutions, give briefings and deep dive sessions to customers, and guide customers on adoption patterns and paths to production. * Generate and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders. * Provide customer and market feedback to the Product and Engineering teams to help outline product direction. We are open to hiring candidates to work out of the following locations: London, GBR Basic Qualifications: - Masters degree (or European advanced degree equivalent) in Computer Science, or related technical, math, or scientific field - Relevant experience in building large scale machine learning or deep learning models - Experience communicating across technical and non-technical audiences - Experience in using Python and hands-on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet - Fluency in written and spoken English Preferred Qualifications: - Demonstrated knowledge of Generative AI and hands-on experience of building applications with large foundation models - Demonstrated knowledge of AWS platform and tools - PhD degree in Computer Science, or related technical, math, or scientific field - Hands-on experience of building ML solutions on AWS Amazon is an equal opportunities employer. We firmly believe that employing a diverse workforce is key to our success. We make recruitment decisions based on your experience and skills. We value your eagerness to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to learn more about how we collect, use, and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need an adjustment during the application and hiring process, including support for the interview or onboarding process, please contact the Applicant-Candidate Accommodation Team (ACAT), Monday through Friday from 7:00 am GMT - 4:00 pm GMT. If calling directly from the United Kingdom, please dial +44 800 086 9884. If calling from Ireland, please dial +353 1800 851 489.