Science Manager, Model Customization, Generative AI Innovation Center

Job ID: | AWS EMEA SARL (UK Branch)Amazon launched the Generative AI Innovation Center (GenAIIC) in Jun 2023 to help AWS customers accelerate the use of Generative AI to solve business and operational problems and promote innovation in their organization (link: Starting in 2024, the Innovation Center launched a new Custom Model and Optimization program to help customers develop and scale highly customized generative AI solutions. The team helps customers imagine and scope bespoke use cases that will create the greatest value for their businesses, define paths to navigate technical or business challenges, develop and optimize models to power their solutions, 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.The GenAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As a Data Science Manager in GenAIIC, you'll partner with technology and business teams to build new GenAI solutions that delight our customers. You will be responsible for directing a team of scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customer’s business and mission problems. Your team will be working with terabytes of text, images, and other types of data to address real-world problems.Key job responsibilities The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical "face" of AWS within our solution providers’ ecosystem and directly to end customers. You will be able to drive discussions with senior technical and management personnel within customers and partners, as well as lead the technical background that enables them to interact with and give guidance to data/research/applied scientists and software developers.The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical issues. Finally, and of critical importance, the candidate will be an excellent technical team manager, someone who knows how to hire, develop, and retain high quality technical talent.AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world‑class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission‑critical applications on top of AWS services.About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the 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.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.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.Mentorship & 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.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.Basic QualificationsPhD in computer science, mathematics, statistics, machine learning or equivalent quantitative fieldKnowledge of Python or R or other scripting languageExperience in building quantitative solutions as a scientist or science managerExperience directly managing scientists or machine learning engineersExperience in applying statistical models for large-scale application and building automated analytical systemsPreferred QualificationsExperience in a least one area of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection)Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systemsBachelor's degree in Computer Science or equivalentAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. 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