Data Scientist -UAE National , AWS Generative AI Innovation Center

Amazon; Dubai; On-site; USD 120,000 - 160,000; Full time

Job summary

Amazon's Generative AI Innovation Center seeks a Data Scientist to innovate using generative AI. The role involves collaborating on AI models, engaging with clients, and applying cutting-edge technology to resolve unique challenges. Ideal candidates hold a relevant degree, are skilled in Python, and have a background in machine learning and deep learning frameworks. Join a dynamic team to influence the future of AI-driven solutions.

Benefits

Mentorship opportunities

Flexible work-life balance

Employee-led affinity groups

Qualifications

• Experience in building AI/ML models.
• Proficient in Python and deep learning frameworks.
• Knowledge in algorithms and optimization.

Responsibilities

• Collaborate to research and develop generative AI algorithms.
• Interact with customers for implementation of solutions.
• Provide recommendations and deliver engaging content.

Skills

Data mining

Deep learning

Machine learning

Optimization

AI/ML models building

Python

Education

Bachelor’s or Master’s degree or equivalent experience

Tools

TensorFlow

Keras

PyTorch

MXNet

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.

We are looking for Data Scientists to use generative AI and other techniques to design, evangelize, and implement state-of-the-art solutions for novel, unresolved problems.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. Your responsibilities include designing and running experiments, researching new algorithms, and finding innovative ways to optimize risk, profitability, and customer experience.

As an early-career joiner, you will initially participate in our A2C (Associate to Consultant) program, which provides intensive training on AWS technology and delivery approaches.

Emirati nationality is required.

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 business problems, assist in the implementation of generative AI solutions, deliver briefings, and conduct deep-dive sessions, guiding customers on adoption patterns and production pathways.
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations tailored to technical, business, and executive stakeholders.
• Provide customer and market feedback to Product and Engineering teams to influence product development.

About the team

The team helps customers identify and scope use cases that provide the greatest value, select and fine-tune models, navigate technical and business challenges, develop proof-of-concepts, and plan for large-scale deployment. The team offers guidance on applying generative AI responsibly and cost-effectively.

Diverse Experiences

We value diverse experiences. Even if you do not meet all listed qualifications, we encourage you to apply. If your career is just beginning, non-traditional, or includes alternative experiences, don’t hesitate to apply.

Why AWS

Amazon Web Services (AWS) is the most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, earning the trust of startups to Global 500 companies.

Inclusive Team Culture

Our culture of learning and curiosity is fostered through employee-led affinity groups and events like CORE and AmazeCon, promoting diversity and inclusion.

Mentorship & Career Growth

We offer ongoing knowledge sharing, mentorship, and resources to support your professional development.

Work/Life Balance

We value flexibility to support your work-life harmony, believing that supported employees achieve more.

Minimum Qualifications

• Bachelor’s or Master’s degree or equivalent experience
• Experience building AI/ML models
• Knowledge in algorithms, data structures, parsing, optimization, data mining, distributed computing, high-performance computing, deep learning, or machine learning
• Proficiency in Python and deep learning frameworks such as TensorFlow, Keras, PyTorch, or MXNet
• Experience training and fine-tuning Large Language Models (LLMs)
• Knowledge of AWS platform and tools

We are committed to an inclusive culture. If you need accommodations during the application or onboarding process, please contact us for support.