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Data Scientist, AWS Generative AI Innovation Center ...

Amazon
London
1 month ago
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Data Scientist -UAE National, AWS Generative AI Innovation Center

Data Scientist -UAE National, AWS Generative AI Innovation Center

[Urgent Search] Data Scientist -UAE National, AWS Generative AI Innovation Center...

Machine Learning Engineer, AWS Generative AI Innovation Center

Data Scientist Lead - Employee Platforms

Senior Data Scientist

Data Scientist, AWS Generative AI Innovation CenterJob ID: 2816978 | Amazon Web Services EMEA Dubai FZ Branch - Q29Amazon launched the Generative AI Innovation Center (GenAIIC) inJune 2023 to help AWS customers accelerate the use of generative AIto solve business and operational problems and promote innovationin their organization. This is a team of strategists, datascientists, engineers, and solution architects working step-by-stepwith customers to build bespoke solutions that harness the power ofgenerative AI. We’re looking for Data Scientists capable of usinggenerative AI and other techniques to design, evangelize, andimplement state-of-the-art solutions for never-before-solvedproblems. You will work directly with customers and innovate in afast-paced organization that contributes to game-changing projectsand technologies. You will design and run experiments, research newalgorithms, and find new ways of optimizing risk, profitability,and customer experience. Emirati national is required. Key jobresponsibilities As a Data Scientist, you will: 1. Collaborate withAI/ML scientists, engineers, and architects to research, design,develop, and evaluate cutting-edge generative AI algorithms toaddress real-world challenges. 2. Interact with customers directlyto understand the business problem, help them in the implementationof generative AI solutions, deliver briefing and deep dive sessionsto customers, and guide customers on adoption patterns and paths toproduction. 3. Create and deliver best practice recommendations,tutorials, blog posts, 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 The team helpscustomers imagine and scope the use cases that will create thegreatest value for their businesses, select and train or fine-tunethe right models, define paths to navigate technical or businesschallenges, develop proof-of-concepts, and make plans for launchingsolutions at scale. The Generative AI Innovation Center teamprovides guidance on best practices for applying generative AIresponsibly and cost-efficiently. BASIC QUALIFICATIONS - Bachelor'sdegree or Master's degree with several years of experience. -Several years of experience building models for businessapplications. - Experience in any of the following areas:algorithms and data structures, parsing, numerical optimization,data mining, parallel and distributed computing, high-performancecomputing, neural deep learning methods, and/or machine learning. -Experience in using Python and hands-on experience building modelswith deep learning frameworks like TensorFlow, Keras, PyTorch,MXNet. PREFERRED QUALIFICATIONS - PhD or Master's degree incomputer science, engineering, mathematics, operations research, orin a highly quantitative field. - Practical experience in solvingcomplex problems in an applied environment. - Hands-on experiencebuilding models with deep learning frameworks like PyTorch,TensorFlow, or JAX. - Prior experience in training and fine-tuningof Large Language Models (LLMs). - Knowledge of AWS platform andtools. Amazon is committed to a diverse and inclusive workplace.Amazon is an equal opportunity employer and does not discriminateon the basis of race, national origin, gender, gender identity,sexual orientation, protected veteran status, disability, age, orother legally protected status. #J-18808-Ljbffr

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