Data Scientist -UAE National , AWS Generative AI Innovation Center

Bachelor of Hotel Management (Hotel Management)

Nationality: Any Nationality

Vacancy: 1 Vacancy

Job Description:

- 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.

We are 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:
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 the implementation of generative AI solutions, deliver briefing and deep dive sessions to customers, and guide customers 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.

Desired Candidate Profile:
- 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.