Senior Delivery Consultant - Machine Learning (GenAI), ProServe EMEA

Amazon; Dubai; On-site; AED 300,000 - 400,000; Full time

Job summary

A leading cloud platform provider is seeking a Senior IC to join the AWS Industries Team in Dubai. The role involves researching and developing generative AI solutions, collaborating with customers, and implementing best practices. Candidates should have extensive experience in cloud technologies, database management, and software development. This position offers opportunities for mentorship and career growth, fostering an inclusive team culture.

Benefits

Mentorship programs

Work-life balance initiatives

Inclusive team culture

Qualifications

• 7 years of technical specialist design and architecture experience.
• 5 years of database experience.
• 5 years of software development experience.
• 3 years of cloud-based solution experience.
• 7 years of customer-facing large-scale project management experience.

Responsibilities

• Collaborate with AI/ML scientists on generative AI algorithm design.
• Deliver sessions to customers on generative AI solution implementation.
• Create best practice recommendations and tutorials.

Skills

Collaboration with AI/ML scientists

Experience with cloud computing technologies

Technical expertise in database experience

Software development with object-oriented languages

Education

Bachelor's degree or 7 years of professional experience

Tools

SQL

NoSQL

Hadoop

AWS services (e.g., EC2, S3, Lambda)

Terraform

Python

Job description

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently. 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. In this role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale solutions for never-before-solved problems.

Key job responsibilities

• Collaborate with AI/ML scientists, engineers and architects to research, design, develop and evaluate generative AI algorithms and build ML systems to address real-world challenges
• Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production
• Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code and presentations adapted to technical, business and executive stakeholder

About the team

Diverse Experiences

Amazon 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.

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.

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.

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 empower us to be proud of our differences.

Mentorship and 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.

• 7 years of technical specialist design and architecture experience
• 5 years of database (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
• 7 years of consulting, design and implementation of serverless distributed solutions experience
• 5 years of software development with object oriented language experience
• 3 years of cloud based solution (AWS or equivalent) system, network and operating system experience
• 7 years of external or internal customer facing complex and large scale project management experience
• Bachelors degree or 7 years of professional or military experience
• 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 proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation, SageMaker, Bedrock and other ML services). AWS Associate level certifications (e.g., Solutions Architect Associate, Machine Learning Associate). Experience with automation and scripting (e.g., Terraform, Python).

Required Experience

Required Experience: Senior IC