Delivery Consultant - AI/ML, AWS Professional Services jobs in United States
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Amazon · 1 month ago

Delivery Consultant - AI/ML, AWS Professional Services

Amazon Web Services (AWS) is a leading cloud platform that seeks a skilled ML Engineer to join their Professional Services team as a Delivery Consultant. In this role, you will design, implement, and manage AWS AI/ML and GenAI solutions for customers, driving their success through the cloud journey while ensuring adherence to best practices and optimizing performance.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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H1B Sponsor Likelynote

Responsibilities

Implementing end-to-end AI/ML and GenAI projects, from understanding business needs to data preparation, model development, deployment and monitoring
Designing and implementing machine learning pipelines that support high-performance, reliable, scalable, and secure ML workloads
Designing scalable ML solutions and operations (MLOps) using AWS services and leveraging GenAI solutions when applicable
Collaborating with cross-functional teams (Applied Science, DevOps, Data Engineering, Cloud Infrastructure, Applications) to prepare, analyze, and operationalize data and AI/ML models
Serving as a trusted advisor to customers on AI/ML and GenAI solutions and cloud architectures
Sharing knowledge and best practices within the organization through mentoring, training, publication, and creating reusable artifacts
Ensuring solutions meet industry standards and supporting customers in advancing their AI/ML, GenAI, and cloud adoption strategies

Qualification

AWS servicesAI/ML solutionsCloud architectureMLOpsSecurity standardsTechnical presentationCollaborationMentoring

Required

3+ years of cloud architecture and solution implementation experience
Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)
Experience implementing AWS services in a variety of distributed computing environments

Preferred

5+ years of IT implementation experience
degree in advanced technology, or AWS Professional level certification
Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
Knowledge of security and compliance standards including HIPAA and GDPR
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
Experience in performance optimization and cost management for cloud environments
Experience presenting technical solutions to diverse audiences in pre-sales environments

Benefits

Equity
Sign-on payments
Full range of medical, financial, and/or other benefits

Company

Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

H1B Sponsorship

Amazon has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)

Funding

Current Stage
Public Company
Total Funding
$8.11B
Key Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO

Leadership Team

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Douglas J. Herrington
CEO, Worldwide Amazon Stores
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Werner Vogels
VP & CTO
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Company data provided by crunchbase