Data Scientist, AWS Generative AI Innovation Center

Amazon; London; On-site; GBP 45,000 - 85,000; Full time

Job summary

Join a forward-thinking team at the Generative AI Innovation Center, where you'll leverage cutting-edge AI technologies to solve complex business challenges. As a Data Scientist, you'll collaborate with top-tier professionals to design innovative solutions that transform customer experiences. This role offers the opportunity to work on groundbreaking projects, utilizing your expertise in machine learning and deep learning frameworks. If you're passionate about AI and eager to make a significant impact in a dynamic environment, this position is perfect for you.

Qualifications

• Experience in building models for business applications required.
• Hands-on experience with deep learning frameworks is essential.

Responsibilities

• Collaborate with AI/ML teams to develop generative AI algorithms.
• Engage with customers to implement generative AI solutions.

Skills

Machine Learning

Data Mining

Numerical Optimization

Algorithms and Data Structures

Deep Learning

Python

Education

Bachelor's degree

Master's degree

PhD

Tools

TensorFlow

Keras

PyTorch

MXNet

JAX

AWS

Job description

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 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.