Description Specialist DataLens (SDL) team builds out persona-based data, reports, and insights focused on Specialization at AWS. Users can determine impact of their contributions, identify customer demand signals, and obtain insights to make business decisions to maximize their impact without having to navigate different dashboards or creating ad-hoc reports. The SDL applied scientist will enhance the present models by designing and leveraging Generative AI capabilities to identify customer trends, provide recommendations for service gaps, simplify data discovery and maximize impact. We are seeking an applied scientist who has a solid background in Machine Learning and Data Science, deep passion for building data-driven solutions, ability to formulate data insights and scientific vision, and has a proven track record of executing complex projects and delivering business impact. Key job responsibilities • Have a deep understanding of the business requirements and reporting metrics to build a data platform implemented with Generative AI/machine learning methodologies to highlight business insights. • Own the end-to-end machine learning lifecycle including identifying hidden relationships between data-variables, feature engineering, machine learning model development, training, validation using Amazon technologies such as Bedrock/Sagemaker. • Design, develop, and train large language models (LLMs) using advanced machine learning techniques and prompt engineering. Ensure models are optimized for performance, accuracy, and efficiency in various applications. •Evaluate model performance using appropriate metrics and benchmarks. Conduct thorough testing and validation to ensure robustness, reliability, and fairness of the LLMs. • Collaborate with business intelligence engineers, technical program management, product management, software developers, data engineering, ML/AI specialist teams and business leaders to provide science support. Communicating feedback; develop, test and deploy a wide range of statistical, econometric, and machine learning models. • Implement, train and validate generative AI application execution within BI dashboards. • Communicate verbally and in writing to business customers with various levels of technical knowledge. • Stay up-to-date with the latest advancements in GenAI/machine learning and apply them to drive continuous improvement in our data platform. About the team The Specialist DataLens team is part of the AWS Specialist Technology team, which is focused on empowering specialists to create customer outcomes, accelerate specialist knowledge, and scaling specialist productivity to the field. The datalens team provides the mechanisms to understand where to invest in specialization. The datalens team is part of the team building out Specialist mechanisms via hands-on workshops, technical communities, solutions and more. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Basic Qualifications - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Preferred Qualifications - Experience using Unix/Linux - Experience in professional software development Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.