Job ID: 2916032 | AWS EMEA SARL (UK Branch) - F93 Areyou looking to work at the forefront of Machine Learning and AI?Would you be excited to apply cutting edge Generative AI algorithmsto solve real world problems with significant impact? The AWSIndustries Team at AWS helps AWS customers implement Generative AIsolutions and realize transformational business opportunities forAWS customers in the most strategic industry verticals. This is ateam of data scientists, engineers, and architects workingstep-by-step with customers to build bespoke solutions that harnessthe power of generative AI. The team helps customers imagine andscope the use cases that will create the greatest value for theirbusinesses, select and train and fine tune the right models, definepaths to navigate technical or business challenges, developproof-of-concepts, and build applications to launch these solutionsat scale. The AWS Industries team provides guidance and implementsbest practices for applying generative AI responsibly and costefficiently. You will work directly with customers and innovate ina fast-paced organization that contributes to game-changingprojects and technologies. You will design and run experiments,research new algorithms, and find new ways of optimizing risk,profitability, and customer experience. In this Data Scientist roleyou will be capable of using GenAI and other techniques to design,evangelize, and implement and scale cutting-edge solutions fornever-before-solved problems. Key job responsibilities 1.Collaborate with AI/ML scientists, engineers, and architects toresearch, design, develop, and evaluate cutting-edge generative AIalgorithms and build ML systems to address real-world challenges.2. Interact with customers directly to understand the businessproblem, help and aid them in implementation of generative AIsolutions, deliver briefing and deep dive sessions to customers andguide customer on adoption patterns and paths to production. 3.Create and deliver best practice recommendations, tutorials, blogposts, publications, sample code, and presentations adapted totechnical, business, and executive stakeholders. 4. Providecustomer and market feedback to Product and Engineering teams tohelp define product direction. About the team Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all ofthe preferred 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 comprehensive andbroadly adopted cloud platform. We pioneered cloud computing andnever 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. Work/LifeBalance We value work-life harmony. Achieving success at workshould never come at the expense of sacrifices at home, which iswhy we strive for flexibility as part of our working culture. Whenwe feel supported in the workplace and at home, there’s nothing wecan’t achieve in the cloud. Inclusive Team Culture Here at AWS,it’s in our nature to learn and be curious. Our employee-ledaffinity groups foster a culture of inclusion that empower us to beproud of our differences. Ongoing events and learning experiences,including our Conversations on Race and Ethnicity (CORE) andAmazeCon (gender diversity) conferences, inspire us to never stopembracing our uniqueness. Mentorship and Career Growth We’recontinuously raising our performance bar as we strive to becomeEarth’s Best Employer. That’s why you’ll find endlessknowledge-sharing, mentorship and other career-advancing resourceshere to help you develop into a better-rounded professional. BASICQUALIFICATIONS 1. 2+ years of data scientist experience and 3+years of data querying languages (e.g. SQL), scripting languages(e.g. Python) or statistical/mathematical software (e.g. R, SAS,Matlab, etc.) experience. 2. 3+ years of machinelearning/statistical modeling data analysis tools and techniques,and parameters that affect their performance experience. 3.Experience applying theoretical models in an applied environment.4. Bachelor's degree in a quantitative field such as statistics,mathematics, data science, business analytics, economics, finance,engineering, or computer science. PREFERRED QUALIFICATIONS 1. PhDin a quantitative field such as statistics, mathematics, datascience, business analytics, economics, finance, engineering, orcomputer science. 2. 5+ years of machine learning/statisticalmodeling data analysis tools and techniques, and parameters thataffect their performance experience. 3. Hands-on experience withdeep learning (e.g., CNN, RNN, LSTM, Transformer). 4. Priorexperience in training and fine-tuning of Large Language Models(LLMs) and knowledge of AWS platform and tools. Amazon is an equalopportunities employer. We believe passionately that employing adiverse workforce is central to our success. We make recruitingdecisions based on your experience and skills. We value yourpassion to discover, invent, simplify and build. Protecting yourprivacy and the security of your data is a longstanding toppriority for Amazon. Please consult our Privacy Notice(https://www.amazon.jobs/en/privacy_page) to know more about how wecollect, use and transfer the personal data of our candidates.Amazon is committed to a diverse and inclusive workplace. Amazon isan equal opportunity employer and does not discriminate on thebasis of race, national origin, gender, gender identity, sexualorientation, protected veteran status, disability, age, or otherlegally protected status. Our inclusive culture empowers Amazoniansto deliver the best results for our customers. If you have adisability and need a workplace accommodation or adjustment duringthe application and hiring process, including support for theinterview 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. Posted: April 3, 2024(Updated 4 days ago) #J-18808-Ljbffr
