Data Scientist -uae National Aws Generative Ai Innovation Center jobs at Amazon in United Arab Emirates

Key job responsibilities
Delivery – Engagements will require working to resolve security assurance questions and to understand how to manage risk and achieve security and compliance objectives while operating in the AWS Cloud through deep dive discussions, strategic presentations/recommendations, and hands on demonstrations of automating compliance in the AWS environment.

- 10+ years of IT consulting/management with IT Transformation in customer-facing roles experience
- 3+ years of program or engagement management work leading other project managers to deliver a program with multiple and concurrent projects experience
- Bachelor's degree in Computer Science, Math, or a related field
- Knowledge of infrastructure-as-a-service (IaaS) cloud computing transition challenges
- Experience in IT consulting/management with IT Transformation in a customer-facing role
- Experience in program or engagement management, leading other project managers to deliver a program with multiple and concurrent projects
- Experience in enterprise architecture including virtualization technologies & distributed architecture
- Experience managing and delivering large-scale enterprise IT projects

We’re looking for Data Scientists to use generative AI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find 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 willDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

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

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

You will be part of a team committed to pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors.This is a great opportunity for you to innovate in this space by developing highly optimized algorithms that will work on scale. This position requires experience with developing Multi-modal LLMs and Vision Language Models. You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms.Key job responsibilities
- Participate in the design, development, evaluation, deployment and updating of data-driven models for computer vision applications.
- Research and implement the state-of-the-art computer vision and Vision Language models algorithms.- Influence system design and product vision by making informed decisions on the selection of technology, data sources, algorithms, and sensors.

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in building models for business application
- Experience programming in Java, C++, Python or related language
- Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms

Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Experience developing software code in one or more programming languages (java, python, etc.)
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)

- AWS Experience preferred, with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training

In collaboration with sales, you will drive revenue growth across a set of digital native customers. As a trusted customer advocate, the solutions architect will help organizations understand best practices around advanced cloud-based solutions, and how to migrate existing workloads to the cloud. You will have the opportunity to help shape and execute a strategy to build a mindshare and broad use of AWS.Key job responsibilitiesA day in the life
- In this role, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge and make a big impact.
- You will enjoy keeping your existing technical skills honed and developing new ones, so you can make strong contributions to deep architecture discussions.
- You will regularly take part in deep-dive education and design exercises to create world-class solutions built on AWS.About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 2-5+ years of infrastructure architecture, database architecture and networking experience
- Knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs
- Experience working with end user or developer communities

Key job responsibilities
Report Automation:
Design, develop, and maintain SQL-driven ETL scripts to extract, transform, and load data from multiple sources into reporting tablesAd-hoc Analysis:
Dashboard Development:
Leverage AWS QuickSight to build and iterate on interactive dashboards that track key metrics and alert stakeholders to performance shiftsData Quality Checks:
Implement simple data-validation routines and monitors to ensure report accuracy and flag upstream issues for resolutionA day in the life
Morning Data Health Check
– Kick off your day by reviewing overnight ETL jobs and QuickSight dashboards for freshness, accuracy, and performance anomaliesAd-Hoc Analysis & Reporting
– Turn stakeholder questions into SQL queries: investigate delivery delays, or inventory stockoutsDashboard Development & Iteration
– Prototype new visualizations in AWS QuickSight, tracking metrics like order cycle time, cost per delivery, and promotional uplift
As part of this close-knit team, you’ll see your analysis translate directly into smoother fulfillment, happier customers, and stronger partnerships across the GCC region

2+ years of hands-on experience writing SQL queries against large datasetsStrong attention to detail and a proactive mindset for identifying and resolving data-quality issuesExcellent verbal and written communication skills; able to translate technical insights into clear recommendations for non-technical stakeholders

Familiarity with basic ETL concepts and data-pipeline maintenanceHands-on experience building and iterating dashboards in AWS QuickSightExperience scripting in Python (or similar) to support data transformations and workflow automationExposure to AWS data services such as Redshift, S3, Glue, or comparable cloud-based warehousesPrior work in a fast-paced, operations-driven environment (e-commerce, grocery, logistics, or rapid-delivery)Demonstrated ability to rapidly learn new tools and frameworks with minimal supervisionStrong problem-solving mindset and ability to balance multiple priorities in an ambiguous setting.

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Senior Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 10+ years of experience as a technical specialist in Customer-facing roles
- Experience driving discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation
- Experience in Delivering IT Strategy & Consulting services, and hands-on experience leading the design, development and deployment of business software at scale or current hands on technology infrastructure, network, compute, storage, and virtualization experience
- Experience with automation, scripting (e.g., Terraform, Python) and application migration and modernization
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.