Data Scientist -UAE National , AWS Generative AI Innovation Center

Amazon launched the Generative AI Innovation Center (GenAIIC) in June 2023 to help AWS customers accelerate the use of generative AI to solve business and operational problems and promote innovation in their organization. This is a team of strategists data scientists engineers and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. ( generative-ai-innovation-center).

Were looking for Data Scientists to use generative AI and other techniques to design evangelize and implement state-of-the-art solutions for never-before-solved problems.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments research new algorithms and find new ways of optimizing risk profitability and customer experience.

As an early-in-career joiner you will initially join our A2C (Associate to Consultant) program for intensive training on AWS technology and delivery approach.

Emirati nationality is required.


Key job responsibilities
As a Data Scientist you will

- Collaborate with AI/ML scientists engineers and architects to Research design develop and evaluate cutting-edge generative AI algorithms to address real-world challenges

- Interact with customers directly to understand the business problem help and aid them in implementation of generative AI solutions deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production

- Create and deliver best practice recommendations tutorials blog posts sample code and presentations adapted to technical business and executive stakeholder

- Provide customer and market feedback to Product and Engineering teams to help define product direction


About the team
The team helps customers imagine and scope the use cases that will create the greatest value for their businesses select and train or fine tune the right models define paths to navigate technical or business challenges develop proof-of-concepts and make plans for launching solutions at scale. The Generative AI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently.

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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
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Inclusive Team Culture
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Work/Life Balance
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- PhD or Masters degree or equivalent experience
- Experience building a range of AI/ML models
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing neural deep learning methods and/or machine learning

Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow Keras PyTorch MXNet
- Prior experience in training and fine-tuning of Large Language Models (LLMs)
- Knowledge of AWS platform and tools

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