.Minimum Qualifications:Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)At least 5 years of experience in designing, building, and/or operating large scale enterprise IT systems in a production environmentAt least 3 years of public cloud computing experience in AWS or other large scale cloud providersRelevant experience hosting and deploying ML solutions (e.G., for training, fine tuning, and inference)Experience coding in Python, R, Matlab, Java or other modern programming languagesExperience communicating across technical and non-technical audiences, including executive level stakeholders or clientsAre you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational 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 harness the power of generative AI.The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We're looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work Life Balance:Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow youestablish that brings energy to both parts of your life
