Delivery Consultant - AI/ML, Professional Services, Professional Services

Amazon Jobs; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading cloud services provider is looking for a skilled Delivery Consultant to design, implement, and manage AWS solutions. This role involves working closely with customers, developing scalable AI/ML solutions, and applying strong technical skills to help businesses meet their objectives. Candidates should have experience in cloud architecture and software development, along with excellent communication skills.

Qualifications

• 3+ years of experience in cloud architecture as a ML practitioner with hands-on implementation.
• 5+ years of professional experience in a technical or analytical role.
• Strong understanding of DevOps practices.

Responsibilities

• Design and develop AI/ML solutions for business problems.
• Analyze large datasets to automate and optimize processes.
• Share knowledge within the organization through mentoring and training.

Skills

AWS services implementation

ML systems implementation

Software development

Strong communication skills

Tools

Python

Java

C#

Job description

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.

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.

Key Job Responsibilities

• Design and develop robust and scalable AI/ML solutions for business problems
• Interact with customer directly to understand the business problem, help and aid them in implementation of their ML ecosystem
• Effectively use Foundation Models available on Amazon Bedrock and Amazon SageMaker to meet our customer's performance needs
• Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes
• Strong communication skills, with attention to detail and ability to convey rigorous mathematical concepts and considerations to non-experts
• Comfortable working in a fast paced, highly collaborative, dynamic work environment
• Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts

About the Team

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.

Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform.

Requirements

• Experience implementing AWS services in a variety of distributed computing environments
• 3+ years experience in cloud architecture, a ML practitioner with hands-on implementation of ML systems; building, validating and deploying GenAI models
• 5+ years of professional experience in a business environment; experience of IT platform implementation in a highly technical or analytical role
• 3+ years experience of handling large datasets and strong software development skills with proficiency in one or more programming languages including Python and one additional language e.g., Java, C#
• Strong understanding of DevOps practices with practical hands-on application and strong interest in AI/ML solutions
• Strong verbal and written communications skills and ability to lead effectively across organizations in English

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.