Delivery Consultant - AI/ML, Professional Services, Professional Services in City of London

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 will work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You will be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Responsibilities

• Design and develop robust and scalable AI/ML solutions for business problems.
• Interact with customers directly to understand the business problem, helping and aiding them in the 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.
• 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.

Basic Qualifications

• 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.

Preferred Qualifications

• 3+ years Technical experience preferred, knowledge of AI/ML Technology stack of AWS and Generative AI trends, patterns, anti-patterns.
• 3+ years Application Development experience required with serverless technologies and experience training distributed ML models on CPU and GPU hardware.
• Serving ML models through real-time APIs and experience with deploying production-grade machine learning solutions on public cloud platforms.
• Knowledge of vertical use cases for large language models in industries like finance, healthcare, manufacturing etc.
• AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation).
• AWS Professional or Specialty level certifications (e.g., Machine Learning Specialty).
• Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences.

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. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon.