Amazon Web Services
Technology
DeliveryConsultant-MachineLearningEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Delivery Consultant - Machine Learning Engineer at Amazon Web Services. Skills: Machine Learning, AI, GenAI, MLOps. Implement end-to-end AI/ML projects. Understand business needs”
Industry & Context.
Root cause analysis
Travel to customer sites
What They're Looking For.
Must Have
3+ years cloud architecture, Bachelor's degree in Computer Science, 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 & CI/CD, 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 end-to-end AI/ML projects
Understand business needs
Design machine learning pipelines
Implement machine learning pipelines
Support high-performance ML workloads
Support reliable ML workloads
Support scalable ML workloads
Support secure ML workloads
Design scalable ML solutions
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
Serve as trusted advisor
Provide guidance on AI/ML solutions
Provide guidance on GenAI solutions
Provide guidance on cloud architectures
Share knowledge within organization
Share best practices within organization
Create reusable artifacts
Ensure solutions meet standards
Support customers in advancing AI/ML strategies
Support customers in advancing GenAI strategies
Support customers in advancing cloud adoption strategies
Design AWS AI/ML solutions
Implement AWS AI/ML solutions
Manage AWS AI/ML solutions
Design AWS GenAI solutions
Implement AWS GenAI solutions
Manage AWS GenAI solutions
Drive customer success
Provide technical expertise
Provide best practices
Assess current infrastructure
Propose migration strategies
Provide guidance on industry trends
Provide guidance on emerging technologies
Provide guidance on innovative solutions
Lead implementation process
Ensure adherence to best practices
How You'll Work.
Team & Collaboration
Cross-functional teams; Customer teams; AWS Partner Network
Communication Scope
Explain complex concepts
Process & Methodology
ML project lifecycle
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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