Data Scientist, AWS Generative AI Innovation Center...

Data Scientist, AWS Generative AI Innovation Center
Job ID: 2816978 | Amazon Web Services EMEA Dubai FZ Branch - Q29
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. We’re looking for Data Scientists capable of using
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. Emirati national is required. Key job
responsibilities As a Data Scientist, you will: 1. Collaborate with
AI/ML scientists, engineers, and architects to research, design,
develop, and evaluate cutting-edge generative AI algorithms to
address real-world challenges. 2. Interact with customers directly
to understand the business problem, help and aid them in the
implementation of generative AI solutions, deliver briefing and
deep dive sessions to customers, and guide customers on adoption
patterns and paths to production. 3. Create and deliver best
practice recommendations, tutorials, blog posts, sample code, and
presentations adapted to technical, business, and executive
stakeholders. 4. 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. BASIC
QUALIFICATIONS - Bachelor's degree or Master's degree with several
years of experience. - Several years of experience building models
for business applications. - 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. PREFERRED QUALIFICATIONS - PhD
or Master's degree in computer science, engineering, mathematics,
operations research, or in a highly quantitative field. - Practical
experience in solving complex problems in an applied environment. -
Hands-on experience building models with deep learning frameworks
like PyTorch, TensorFlow, or JAX. - Prior experience in training
and fine-tuning of Large Language Models (LLMs). - Knowledge of AWS
platform and tools. Amazon is committed to a diverse and inclusive
workplace. Amazon is an equal opportunity employer and does not
discriminate on the basis of race, national origin, gender, gender
identity, sexual orientation, protected veteran status, disability,
age, or other legally protected status.
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