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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