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Data Scientist, AWS Generative AI Innovation Center - Job Opportunity at Amazon.com

Dubai, United Arab Emirates
Full-time
Mid-level
Posted: July 12, 2025
On-site
USD 120,000 - 180,000 per year plus equity and performance bonuses, with potential for higher compensation given the specialized nature of generative AI expertise and the premium associated with Amazon's compensation packages in the UAE market

Benefits

Access to cutting-edge generative AI technology and research opportunities that position professionals at the forefront of AI innovation
Direct customer interaction and consulting experience that builds valuable business acumen and client relationship skills
Comprehensive mentorship and career development programs designed to accelerate professional growth within one of the world's largest tech companies
Work-life harmony initiatives that prioritize flexibility and personal well-being while maintaining high performance standards
Inclusive team culture with employee-led affinity groups and diversity conferences that foster professional networking and personal development
Exposure to global enterprise clients and complex business challenges that enhance strategic thinking and problem-solving capabilities

Key Responsibilities

Lead the research, design, and development of cutting-edge generative AI algorithms to solve unprecedented business challenges, positioning yourself as a technical innovator in the rapidly evolving AI landscape
Serve as a trusted advisor to enterprise customers by directly understanding their business problems and guiding the implementation of transformative generative AI solutions that drive measurable business outcomes
Create and deliver high-impact thought leadership content including best practice recommendations, technical tutorials, and executive presentations that influence industry standards and customer adoption patterns
Act as a strategic bridge between customer needs and product development by providing critical market feedback that shapes the future direction of AWS generative AI services
Design and execute sophisticated experiments and research initiatives that advance the state of the art in generative AI while optimizing key business metrics including risk, profitability, and customer experience

Requirements

Education

Bachelor's degree Or Master's degree with several years of experience

Experience

Several years of experience building models for business applications

Required Skills

algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing neural deep learning methods machine learning Python hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet
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Sauge AI Market Intelligence

Industry Trends

The generative AI market is experiencing unprecedented growth with enterprise adoption accelerating rapidly across industries, creating massive demand for skilled practitioners who can bridge the gap between cutting-edge research and practical business applications. Organizations are increasingly seeking professionals who can not only develop AI models but also understand business context and drive customer-facing implementations. Large language models and foundation models are becoming the cornerstone of enterprise AI strategies, with companies investing heavily in fine-tuning, prompt engineering, and responsible AI deployment practices. This shift is creating a premium market for data scientists who combine deep technical expertise with customer consulting capabilities. The Middle East, particularly the UAE, is positioning itself as a global AI hub with significant government and private sector investments in AI infrastructure and talent development. This regional focus is creating exceptional opportunities for AI professionals willing to work in emerging markets with strong growth potential.

Role Significance

Likely part of a 15-25 person specialized team of strategists, data scientists, engineers, and solution architects, with opportunities to lead smaller project teams of 3-5 people on specific customer engagements
This is a high-impact individual contributor role with significant strategic influence, requiring someone who can operate independently while collaborating with senior technical leaders and directly interfacing with enterprise customers. The role combines deep technical expertise with business acumen and customer relationship management.

Key Projects

Developing custom generative AI solutions for Fortune 500 companies across industries such as financial services, healthcare, retail, and manufacturing Creating proof-of-concept implementations that demonstrate the business value of large language models and foundation models for specific use cases Building industry-specific AI frameworks and methodologies that can be scaled across multiple customer implementations Conducting advanced research in areas such as model fine-tuning, prompt engineering, and responsible AI deployment practices

Success Factors

Deep technical expertise in generative AI, large language models, and modern deep learning frameworks combined with the ability to translate complex technical concepts into business value propositions for enterprise customers Strong customer relationship and consulting skills that enable effective communication with technical and business stakeholders across different industries and organizational levels Proven track record of taking research concepts from ideation through production deployment, with experience in handling the unique challenges of scaling AI solutions in enterprise environments Cultural adaptability and business acumen to work effectively in the UAE market while representing a global technology leader like Amazon

Market Demand

Extremely high demand driven by the explosive growth of generative AI adoption and the scarcity of professionals who combine deep technical expertise with customer-facing consulting skills in this emerging field

Important Skills

Critical Skills

Deep learning frameworks expertise (PyTorch, TensorFlow, JAX) is absolutely essential as these are the primary tools for developing and fine-tuning generative AI models. The rapid evolution of these frameworks requires continuous learning and adaptation to new techniques and methodologies. Large language model training and fine-tuning experience is crucial given the central role of LLMs in generative AI applications. This includes understanding of transformer architectures, attention mechanisms, and the unique challenges of working with models containing billions of parameters. Python programming proficiency is fundamental for all aspects of the role, from data preprocessing and model development to deployment and monitoring. Strong Python skills enable rapid prototyping and efficient implementation of complex AI solutions. Customer communication and consulting skills are critical for translating technical capabilities into business value and building strong relationships with enterprise clients. This skill set differentiates successful AI practitioners from those who struggle to drive adoption.

Beneficial Skills

AWS platform expertise would provide significant advantages in leveraging the full ecosystem of cloud services for AI workloads, including specialized AI chips, managed services, and scalable infrastructure components Experience with MLOps and AI deployment pipelines would be valuable for moving from proof-of-concept to production systems, which is a key challenge in enterprise AI implementations Understanding of AI ethics and responsible AI practices is increasingly important as organizations grapple with the societal implications of deploying generative AI systems at scale Industry-specific domain knowledge in areas such as finance, healthcare, or manufacturing would enable more effective customer engagements and solution development

Unique Aspects

Direct access to cutting-edge generative AI technology and research resources that are typically only available to the most advanced technology companies, providing unparalleled learning and development opportunities
Opportunity to work with Amazon's most strategic enterprise customers on transformative AI initiatives that can reshape entire industries
Combination of deep technical work with high-level business consulting, creating a unique skill set that is highly valued in the current market
Geographic positioning in Dubai provides access to emerging markets and unique cultural experiences while working for a global technology leader

Career Growth

Typically 2-4 years for progression to senior individual contributor roles, with potential for faster advancement given the high-growth nature of the generative AI market and the valuable combination of technical and customer-facing experience

Potential Next Roles

Senior Data Scientist or Principal Data Scientist roles within Amazon's AI/ML organization, with opportunities to lead larger teams and more complex technical initiatives Customer-facing roles such as Solutions Architect or Technical Account Manager specializing in AI/ML, leveraging the consulting experience gained in this position Product management roles in AI/ML services, using the customer feedback and market insights gained from direct customer interactions Leadership positions in AI research and development, either within Amazon or at other major technology companies

Company Overview

Amazon.com

Amazon Web Services is the dominant global cloud computing platform with over 30% market share, and the company is making significant strategic investments in generative AI to maintain its competitive advantage. The Generative AI Innovation Center represents a premium consulting service that combines Amazon's technical capabilities with high-touch customer engagement.

AWS is the clear market leader in cloud services and is aggressively pursuing leadership in the generative AI space, competing directly with Microsoft, Google, and specialized AI companies. The company's vast resources and customer base provide significant advantages in scaling AI solutions.
Amazon is expanding its presence in the Middle East with significant investments in local infrastructure and talent, positioning the UAE as a strategic hub for serving the broader MENA region. The requirement for Emirati nationals indicates a commitment to developing local talent and building strong government relationships.
Amazon is known for its high-performance, customer-obsessed culture with strong emphasis on innovation and ownership. The company's leadership principles drive a fast-paced, results-oriented environment that rewards initiative and long-term thinking while maintaining high standards for technical excellence.
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