Data Scientist, AWS Generative AI Innovation Center

Amazon; Dubai; On-site; AED 200,000 - 300,000; Full time

Job summary

A leading technology company is seeking a talented professional to join their Generative AI Innovation Center in Dubai. The role involves collaborating with AI scientists and customers to implement cutting-edge generative AI algorithms, while delivering tailored solutions and engaging with stakeholders. Applicants should have significant experience in model development and expertise in deep learning frameworks. Emirati nationality is required for this position.

Qualifications

• Several years of experience building models for business applications.
• Experience with deep learning methods and neural networks.
• Practical experience in solving complex problems.

Responsibilities

• Collaborate with scientists and engineers on generative AI algorithms.
• Directly interact with customers to help implement AI solutions.
• Deliver best-practice recommendations and tutorials.

Skills

Python

Deep learning frameworks (TensorFlow, Keras, PyTorch, MXNet)

Algorithms and data structures

Numerical optimization

Machine learning

Education

Bachelor's or Master's degree

PhD or Master's in a quantitative field

Tools

AWS tools

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.

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 them 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.

Emirati nationality is required.

Qualifications

• Bachelors or Masters degree with several years of experience.
• Several years of experience building models for business applications.
• Experience in 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 and MXNet.
• PhD or Masters degree in computer science, engineering, mathematics, operations research or 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.

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