Senior Data Scientist, Generative AI Innovation Center

Are you interested in working at the cutting-edge of Machine Learning and AI? Would you be stimulated by the prospect of applying pioneering Generative AI algorithms to tackle real-world problems with substantial impact? The Generative AI Innovation Center at AWS is a novel strategic team that assists AWS customers in implementing Generative AI solutions and capitalizing on transformational business potential. This team comprises strategists, data scientists, engineers, and solution architects working in unison with customers to devise custom solutions leveraging the power of generative AI. The team assists customers in conceptualizing and outlining the use cases that will generate the most value for their businesses, finalizing and training the right models, carving out paths to circumvent technical or business obstacles, developing proofs-of-concept, and planning the deployment of solutions on a large scale. The GenAI Innovation Center team provides recommendations on the best practices for deploying generative AI responsibly and cost-effectively. You will work directly with customers and innovate within a fast-paced organization contributing to path-breaking projects and technologies. You will design and conduct experiments, research new algorithms, and discover new methods of optimizing risk, profitability, and customer experience. We're seeking ML Data Scientists proficient in using GenAI and other techniques to design, advocate for, and implement cutting-edge solutions for unprecedented problems. Key job responsibilities: As an ML Data Scientist, you will: * Collaborate with ML scientists and architects to research, design, develop, and evaluate pioneering generative AI algorithms to tackle real-world issues. * Interact directly with customers to understand the business problem, assist them in implementing generative AI solutions, provide briefings and deep-dive sessions to customers, and guide customers on adaptation patterns and paths to production. * Craft and deliver best practice recommendations, tutorials, blog posts, sample codes, and presentations tailored to technical, business, and executive stakeholders. * Provide customer and market feedback to Product and Engineering teams to help shape product direction. We are open to recruiting 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 with both 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 in building applications with large foundation models. - PhD degree in Computer Science, or related technical, math, or scientific field. - Demonstrated knowledge of AWS platform and tools. - Hands-on experience in building ML solutions on AWS. - High impact thought leadership in AI/ML domain through blog posts, public presentations, social media visibility, or publications. Amazon is an equal opportunity employer. We firmly believe that employing a diverse workforce is central to our success. We base our recruitment decisions on your experience and skills. We value your zeal to discover, invent, simplify, and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please refer to 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 enables Amazonians to achieve the best results for our customers. If you have a disability and require 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.