Amazon Web Services, Inc.

Technology

DeliveryConsultant-MachineLearningEngineer,AWSProfessionalServices

$118–204k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Delivery Consultant - Machine Learning Engineer, AWS Professional Services at Amazon Web Services, Inc.. Skills: Machine Learning, Artificial Intelligence, Generative AI, AWS. Implement AI/ML projects. Implement GenAI projects”

Industry & Context.

Technology
Eligibility Requirements

Potential travel

What They're Looking For.

Must Have

3+ years cloud architecture, Bachelor's degree, 5+ years data engineering, 5+ years software engineering, 5+ years ML engineering, 3+ years predictive modeling, 3+ years natural language processing, 3+ years deep learning, 3+ years developing with SQL, 3+ years developing with Python, 3+ years developing with Java, 3+ years developing with Scala, 3+ years developing with JavaScript, 3+ years developing with TypeScript

Nice to Have

AWS experience preferred, AWS Professional certifications, Experience with automation, Experience with Infrastructure as Code, Experience with Containers, Experience with CI/CD Pipelines, Knowledge of security standards, Knowledge of compliance standards, Experience building ML pipelines, Experience with MLOps, Experience with orchestration, Experience building applications with GenAI

What You'll Do.

Implement AI/ML projects

Implement GenAI projects

Implement ML pipelines

Leverage GenAI solutions

Collaborate with Applied Science

Collaborate with DevOps

Collaborate with Data Engineering

Collaborate with Cloud Infrastructure

Collaborate with Applications

Prepare data for models

Analyze data for models

Operationalize data for models

Operationalize AI/ML models

Advise customers on AI/ML

Advise customers on GenAI

Advise customers on cloud architectures

Share knowledge within organization

Create reusable artifacts

Ensure solutions meet standards

Support customer AI/ML adoption

Support customer GenAI adoption

Support customer cloud adoption

How You'll Work.

Team & Collaboration

Cross-functional teams; Customer teams; AWS Partner Network

Communication Scope

Explain complex concepts

Full Job Description

Are you excited about building software solutions around large, complex Machine Learning (ML) and Artificial Intelligence (AI) systems? Want to help the largest global enterprises derive business value through the adoption and automation of Generative AI (GenAI)? Excited by using massive amounts of disparate data to develop AI/ML models? Eager to learn to apply AI/ML to a diverse array of enterprise use? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades - pioneering and shaping the world’s AI technology? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled ML Engineer to join our team as a Delivery Consultant at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS AI/ML and GenAI 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 ML project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure AI/ML and GenAI 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. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computin

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