Data Scientist -UAE National, AWS Generative AI Innovation Center

Amazon Web Services EMEA Dubai FZ Branch - Q29; Dubai; On-site; USD 60,000 - 120,000; Full time

Job summary

An innovative firm is seeking Data Scientists to join their Generative AI Innovation Center. This exciting role involves working with cutting-edge AI technologies to design and implement solutions that address complex business challenges. You'll collaborate with talented professionals and engage directly with customers to deliver impactful results. As part of the A2C program, you'll receive comprehensive training on AWS technologies, ensuring you are well-equipped to contribute to transformative projects. If you're passionate about generative AI and eager to make a difference, this opportunity is perfect for you.

Qualifications

• Experience in building AI/ML models and algorithms.
• Bachelor's or Master's degree or equivalent experience required.

Responsibilities

• Collaborate with teams to develop generative AI algorithms.
• Interact with customers to implement AI solutions and provide guidance.

Skills

Machine Learning

Data Mining

Numerical Optimization

Algorithms and Data Structures

Deep Learning

Python

Education

Bachelor's degree

Master's degree

Tools

TensorFlow

Keras

PyTorch

MXNet

AWS

Job description

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 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.

Key job responsibilities

• 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 stakeholders.
• 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 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.

PREFERRED QUALIFICATIONS

• 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.