▷ 3 Days Left: Data Scientist, Data Intelligence,Professional Services GCR

AWS Sales, Marketing, and Global Services (SMGS) isresponsible for driving revenue, adoption, and growth from thelargest and fastest growing small- and mid-market accounts toenterprise-level customers including public sector. The AWS GlobalSupport team interacts with leading companies and believes thatworld-class support is critical to customer success. AWS Supportalso partners with a global list of customers that are buildingmission-critical applications on top of AWS services. The AmazonWeb Services Professional Services team is looking for a DataScientist, this role plays a crucial role in delivering thegenerative artificial intelligence (GenAI) solutions for ourclients. This position requires a deep understanding of machinelearning, natural language processing, and generative models,combined with problem-solving skills and a passion for innovation.Key job responsibilities 1. Generative AI Model Development:-Design and develop generative AI models, including languagemodels, image generation models, and multimodal models. -Exploreand implement advanced techniques in areas such as transformerarchitectures, attention mechanisms, and self-supervised learning.-Conduct research and stay up-to-date with the latest advancementsin the field of generative AI. 2. Data Acquisition andPreprocessing: -Identify and acquire relevant data sources fortraining generative AI models. -Develop robust data preprocessingpipelines, ensuring data quality, cleanliness, and compliance withethical and regulatory standards. -Implement techniques for dataaugmentation, denoising, and domain adaptation to enhance modelperformance. 3. Model Training and Optimization: -Design andimplement efficient training pipelines for large-scale generativeAI models. -Leverage distributed computing resources, such as GPUsand cloud platforms, for efficient model training. -Optimize modelarchitectures, hyperparameters, and training strategies to achievesuperior performance and generalization. 4. Model Evaluation andDeployment: -Develop comprehensive evaluation metrics andframeworks to assess the performance, safety, and bias ofgenerative AI models. -Collaborate with cross-functional teams toensure the successful deployment and integration of generative AImodels into client solutions. 5. Collaboration and KnowledgeSharing: -Collaborate with data engineers, software engineers, andsubject matter experts to develop innovative solutions leveraginggenerative AI. -Contribute to the firm's thought leadership bypresenting at conferences, and participating in industry events.About the team AWS Sales, Marketing, and Global Services (SMGS) isresponsible for driving revenue, adoption, and growth from thelargest and fastest growing small- and mid-market accounts toenterprise-level customers including public sector. The AWS GlobalSupport team interacts with leading companies and believes thatworld-class support is critical to customer success. AWS Supportalso partners with a global list of customers that are buildingmission-critical applications on top of AWS services. About AWSDiverse Experiences AWS values diverse experiences. Even if you donot meet all of the qualifications and skills listed in the jobdescription, we encourage candidates to apply. If your career isjust starting, hasn’t followed a traditional path, or includesalternative experiences, don’t let it stop you from applying. WhyAWS? Amazon Web Services (AWS) is the world’s most comprehensiveand broadly adopted cloud platform. We pioneered cloud computingand never stopped innovating — that’s why customers from the mostsuccessful startups to Global 500 companies trust our robust suiteof products and services to power their businesses. Inclusive TeamCulture Here at AWS, it’s in our nature to learn and be curious.Our employee-led affinity groups foster a culture of inclusion thatempower us to be proud of our differences. Ongoing events andlearning experiences, including our Conversations on Race andEthnicity (CORE) and AmazeCon (gender diversity) conferences,inspire us to never stop embracing our uniqueness. Mentorship &Career Growth We’re continuously raising our performance bar as westrive to become Earth’s Best Employer. That’s why you’ll findendless knowledge-sharing, mentorship and other career-advancingresources here to help you develop into a better-roundedprofessional. Work/Life Balance We value work-life harmony.Achieving success at work should never come at the expense ofsacrifices at home, which is why we strive for flexibility as partof our working culture. When we feel supported in the workplace andat home, there’s nothing we can’t achieve in the cloud. AWS iscommitted to a diverse and inclusive workplace to deliver the bestresults for our customers. Amazon is an equal opportunity employerand does not discriminate on the basis of race, national origin,gender, gender identity, sexual orientation, protected veteranstatus, disability, age, or other legally protected status; wecelebrate the diverse ways we work. For individuals withdisabilities who would like to request an accommodation, please letus know and we will connect you to our accommodation team. BASICQUALIFICATIONS - Master's or Ph.D. degree in Computer Science,Machine Learning, Artificial Intelligence, or a relatedquantitative field. - 4+ years of experience in developing anddeploying machine learning models, with a strong focus ongenerative AI techniques. - Proficiency in programming languagessuch as Python, PyTorch, or TensorFlow, and experience with deeplearning frameworks. - Strong background in natural languageprocessing, computer vision, or multimodal learning. - Ability tocommunicate technical concepts to both technical and non-technicalaudiences. PREFERRED QUALIFICATIONS - Experience with largelanguage models, such as Claude, GPT, BERT, or T5. - Familiaritywith reinforcement learning techniques and their applications ingenerative AI. - Understanding of ethical AI principles, biasmitigation techniques, and responsible AI practices. - Experiencewith cloud computing platforms (e.g., AWS, GCP, Azure) anddistributed computing frameworks (e.g., Apache Spark, Dask). -Strong problem-solving, analytical, and critical thinking skills. -Strong communication, collaboration, and leadership skills. 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 visithttps://amazon.jobs/content/en/how-we-hire/accommodations for moreinformation. If the country/region you’re applying in isn’t listed,please contact your Recruiting Partner. Amazon is an equalopportunity employer and does not discriminate on the basis ofprotected veteran status, disability or other legally protectedstatus. #J-18808-Ljbffr