Negotiable
Overview
Job ID: 3091065 | AWS EMEA SARL (UK Branch)Are you looking to work at the forefront of Machine Learning and AI? This role focuses on applying cutting edge Generative AI algorithms to solve real world problems with significant impact. The AWS Industries Team helps customers implement Generative AI solutions and realize transformational business opportunities in strategic industry verticals. This team comprises data scientists, engineers, and architects who work with customers to build bespoke solutions that harness the power of generative AI.The team helps customers imagine and scope the highest-value use cases, select, train, and fine-tune models, define paths to address technical or business challenges, develop proof-of-concepts, and build applications to launch solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently.You will work directly with customers in a fast-paced environment, design and run experiments, research new algorithms, and explore ways to optimize risk, profitability, and customer experience. In this Data Scientist role you will use GenAI and related techniques to design, evangelize, implement and scale cutting-edge solutions for never-before-solved problems.
Key job responsibilities
Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and ML systems addressing real-world challenges.
Interact with customers directly to understand business problems, aid in the implementation of generative AI solutions, deliver briefings and deep-dive sessions, and guide adoption patterns toward production.
Create and deliver best-practice recommendations, tutorials, blog posts, publications, sample code, and presentations tailored to technical, business, and executive stakeholders.
Provide customer and market feedback to Product and Engineering teams to help define product direction.
About the teamDiverse Experiences: Amazon values diverse experiences. If you do not meet all preferred qualifications, we encourage you to apply. If your career is just starting or follows an unconventional path, don’t let it stop you from applying.
Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, trusted by customers from startups to Global 500 companies.
Work/Life BalanceWe value work-life harmony and strive for flexibility as part of our working culture. Support at work and at home enables us to achieve in the cloud.
Inclusive Team CultureWe foster a culture of inclusion with employee-led affinity groups and ongoing events and learning experiences that celebrate diversity.
Mentorship and Career GrowthWe support continuous learning, mentorship, and resources to help you develop as a professional.
QualificationsBasic Qualifications
5+ years of data science experience and 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical software (e.g., R, SAS, Matlab).
3+ years of experience with machine learning/statistical modeling, data analysis tools, and performance-influencing parameters.
Experience applying theoretical models in an applied environment.
Bachelor''s degree in a quantitative field (statistics, mathematics, data science, business analytics, economics, finance, engineering, computer science).
Preferred Qualifications
PhD in a quantitative field (statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science).
5+ years of machine learning/statistical modeling experience and related techniques.
Hands-on experience with deep learning (CNN, RNN, LSTM, Transformer).
Prior experience in training and fine-tuning Large Language Models (LLMs) and knowledge of AWS platform and tools.
Amazon is an equal opportunities employer. We believe that a diverse workforce is central to our success and make recruiting decisions based on experience and skills. We value your passion to discover, invent, simplify, and build. Protecting privacy and data security is a priority. See our Privacy Notice for details.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other protected status. If you require a workplace accommodation during the application or hiring process, please visit our accommodations page for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Posted:
May 20, 2025 ..... full job details .....
Negotiable