Back to jobsJob overview

About the role

Data Scientist -UAE National , AWS Generative AI Innovation Center at Amazon Web Services EMEA Dubai FZ Branch - Q29

Required Skills

pythongenerative aideep learningawsllmsai/mldata miningnumerical optimization

About the Role

This role is for a Data Scientist in the AWS Generative AI Innovation Center, focusing on designing and implementing generative AI solutions for customers. The position involves collaborating with AI/ML teams, interacting directly with clients, and contributing to cutting-edge projects. It includes initial intensive training through the A2C program and requires Emirati nationality.

Key Responsibilities

  • Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms
  • Interact with customers directly to understand business problems, aid in implementation of generative AI solutions, and guide adoption patterns
  • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations for stakeholders
  • Provide customer and market feedback to Product and Engineering teams to help define product direction
  • Design and run experiments, research new algorithms, and optimize risk, profitability, and customer experience

Required Skills & Qualifications

Must Have:

  • PhD or Master's degree or equivalent experience
  • Experience building a range of AI/ML models
  • Experience in areas such as algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods, or machine learning
  • Emirati nationality

Nice to Have:

  • 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

Benefits & Perks

  • Inclusive team culture with employee-led affinity groups and learning experiences
  • Mentorship and career growth resources for professional development
  • Work-life balance with flexibility as part of the working culture