Sr. Delivery Consultant - Data Scientist, AWSProfessional Services Israel AWS Sales, Marketing, and GlobalServices (SMGS) is responsible for driving revenue, adoption, andgrowth from the largest and fastest growing small- and mid-marketaccounts to enterprise-level customers including public sector. TheAWS Global Support team interacts with leading companies andbelieves that world-class support is critical to customer success.AWS Support also partners with a global list of customers that arebuilding mission-critical applications on top of AWS services. Areyou looking to work at the forefront of Machine Learning and AI?Would you be excited to apply advanced Generative AI algorithms tosolve real world problems with significant impact? The GenerativeAI Innovation Center at AWS is a new strategic team that helps AWScustomers implement Generative AI solutions and realizetransformational business opportunities. This is a team ofstrategists, data scientists, engineers, and solution architectsworking step-by-step with customers to build bespoke solutions thatharness the power of generative AI. You will work directly withcustomers and innovate in a fast-paced organization thatcontributes to game-changing projects and technologies. You willdesign and run experiments, research new algorithms, and find newways of optimizing risk, profitability, and customer experience.We’re looking for Data Scientists capable of using GenAI and othertechniques to design, evangelize, and implement state-of-the-artsolutions for never-before-solved problems. Key jobresponsibilities 1. Collaborate with ML scientists and architectsto research, design, develop, and evaluate advanced generative AIalgorithms to address real-world challenges. 2. Interact withcustomers directly to understand the business problem, help and aidthem in the implementation of generative AI solutions, deliverbriefing and deep dive sessions to customers and guide customers onadoption patterns and paths to production. 3. Create and deliverbest practice recommendations, tutorials, blog posts, sample code,and presentations adapted to technical, business, and executivestakeholders. 4. Provide customer and market feedback to Productand Engineering teams to help define product direction. About theteam The team helps customers imagine and scope the use cases thatwill create the greatest value for their businesses, select andtrain the right models, define paths to navigate technical orbusiness challenges, develop proof-of-concepts, and make plans forlaunching solutions at scale. The GenAI Innovation Center teamprovides guidance on best practices for applying generative AIresponsibly and cost efficiently. Diverse Experiences Amazon valuesdiverse experiences. Even if you do not meet all of the preferredqualifications and skills listed in the job description, weencourage candidates to apply. If your career is just starting,hasn’t followed a traditional path, or includes alternativeexperiences, don’t let it stop you from applying. Why AWS? AmazonWeb Services (AWS) is the world’s most comprehensive and broadlyadopted cloud platform. We pioneered cloud computing and neverstopped innovating — that’s why customers from the most successfulstartups to Global 500 companies trust our robust suite of productsand services to power their businesses. Work/Life Balance We valuework-life harmony. Achieving success at work should never come atthe expense of sacrifices at home, which is why flexible work hoursand arrangements are part of our culture. When we feel supported inthe workplace and at home, there’s nothing we can’t achieve in thecloud. Inclusive Team Culture Here at AWS, it’s in our nature tolearn and be curious. Our employee-led affinity groups foster aculture of inclusion that empowers us to be proud of ourdifferences. Ongoing events and learning experiences, including ourConversations on Race and Ethnicity (CORE) and AmazeCon (genderdiversity) conferences, inspire us to never stop embracing ouruniqueness. Mentorship and Career Growth We’re continuously raisingour performance bar as we strive to become Earth’s Best Employer.That’s why you’ll find endless knowledge-sharing, mentorship, andother career-advancing resources here to help you develop into abetter-rounded professional. Minimum Qualifications 1. Mastersdegree (or European advanced degree equivalent) in ComputerScience, or related technical, math, or scientific field. 2.Relevant experience in building large scale machine learning ordeep learning models and solutions. 3. Experience communicatingacross technical and non-technical audiences. 4. Experience inusing Python and hands-on experience building models with deeplearning frameworks like Tensorflow, Keras, PyTorch, MXNet. 5.Fluency in written and spoken Hebrew and English. PreferredQualifications 1. Proven knowledge of Generative AI and hands-onexperience of building applications with large foundation models.2. Proven knowledge of AWS platform and tools. 3. PhD degree inComputer Science, or related technical, math, or scientific field.4. Hands-on experience of building ML solutions on AWS. Ourinclusive culture empowers Amazonians to deliver the best resultsfor our customers. If you have a disability and need a workplaceaccommodation or adjustment during the application and hiringprocess, including support for the interview or onboarding process,please visit here for more information. If the country/regionyou’re applying in isn’t listed, please contact your RecruitingPartner. #J-18808-Ljbffr
