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 team of strategists, data scientists, engineers, and solution architects works step-by-step with customers to build bespoke solutions that harness the power of generative AI.
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We’re looking for Data Scientists to use generative AI and other techniques to design, evangelize, and implement state-of-the-art solutions for complex problems. You will work directly with customers and innovate in a fast-paced environment, contributing to game-changing projects and technologies. Your role will involve designing and running experiments, researching new algorithms, and finding 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. Emirati nationality is required.
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 to understand their business problems, aiding them in implementing generative AI solutions, and providing guidance 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.
Requirements
- Bachelor's degree 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, and/or machine learning
Preferred Qualifications
- Experience using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, or MXNet
- Prior experience in training and fine-tuning of Large Language Models (LLMs)
- Knowledge of AWS platform and tools
Work Conditions
At Amazon Web Services (AWS), we value work-life harmony. Achieving success at work should not come at the expense of your personal life. We strive for flexibility as part of our working culture, believing that when employees feel supported both at work and at home, nothing is unachievable in the cloud.
