Delivery Consultant - Data Scientist, Professional Services Delivery

Amazon; Dubai; On-site; AED 330,000 - 441,000; Full time

Job summary

A leading cloud service provider in Dubai seeks a skilled Delivery Consultant to design and implement AWS solutions tailored to customer needs. The role involves providing technical guidance and support for GenAI and ML applications while acting as a trusted advisor on industry trends. Ideal candidates will have 5 years of cloud experience, strong knowledge of AWS services, and background in software development. A bachelor's degree in Computer Science is required, along with expertise in deep learning techniques.

Qualifications

• 5 years of cloud-based solution experience, including AWS or equivalent.
• Experience leading software design and deployment at scale.
• Hands-on experience with machine learning and deep learning frameworks.

Responsibilities

• Design and implement scalable AI and ML applications on AWS.
• Provide technical guidance during project delivery.
• Collaborate with stakeholders to gather requirements.

Skills

Knowledge of AWS services (EC2, ELB, RDS, Route53 & S3)

Experience in distributed computing environments

Software development in Java or Python

Automation and scripting (Terraform, Python)

Deep learning techniques (CNN, RNN, Transformer)

Education

Bachelor of Science in Computer Science or related field

Tools

AWS SageMaker

AWS EMR

AWS OpenSearch

Job description

Introduction

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled 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.

Key Job Responsibilities

• Design, implement and build complex scalable and secure GenAI and ML applications and models built on AWS tailored to customer needs.
• Provide technical guidance and implementation support throughout project delivery with a focus on using AWS AI/ML services.
• Collaborate with customer stakeholders to gather requirements and propose effective model training, building and deployment strategies.
• Act as a trusted advisor to customers on industry trends and emerging technologies.
• Share knowledge within the organization through mentoring, training and creating reusable artifacts.

About the Team

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.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating. That’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS it’s in our nature to learn and be curious. Our employee‑led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

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

We value work‑life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home there’s nothing we can’t achieve in the cloud.

Qualifications

• Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3).
• Experience implementing AWS services in a variety of distributed computing environments.
• 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).
• 5 years of cloud‑based solution (AWS or equivalent) system, network and operating system experience as well as hosting and deploying GenAI/ML solutions (e.g., for training, fine‑tuning and inferences).
• Experience and technical expertise (design and implementation) in cloud computing technologies.
• Experience leading the design, development and deployment of business software at scale or recent hands‑on technology infrastructure network, compute, storage and virtualization experience.
• 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).
• Experience with automation and scripting (e.g., Terraform, Python) and knowledge of security and compliance standards (e.g., HIPAA, GDPR).
• Hands‑on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer) machine learning CV, GNN or distributed training.

Required Experience:

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