Amazon Web Services, Inc.
Technology
MachineLearningEngineer,Data&MachineLearning(DML)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Machine Learning Engineer, Data & Machine Learning (DML) at Amazon Web Services, Inc.. Skills: Machine Learning, Generative AI, AI/ML solutions, Data analysis. Design and implement AI/ML solutions on AWS. Select and fine-tune models”
What You'll Achieve.
Meet technical requirements; Meet business objectives; Drive customer success; Create greatest value for businesses; Achieve specific outcomes
Industry & Context.
Troubleshooting; Optimize risk; Optimize profitability; Optimize customer experience
US Citizen, Active TS/SCI security clearance
What They're Looking For.
Must Have
Bachelor's degree or above in STEM, 3+ years of machine learning/statistical modeling data analysis tools and techniques, Current, active US Government Security Clearance of Top Secret or above, US Citizen
Nice to Have
Master's degree or above in STEM, Experience working on multi-team, cross-disciplinary projects, Experience applying quantitative analysis to solve business problems, Experience in defining and creating benchmarks for assessing GenAI model performance, Experience with Python, SQL/NoSQL, and API development, Experience working with Large Language Models (LLMs), Prompt engineering experience, Generative AI frameworks experience
What You'll Do.
Design and implement AI/ML solutions on AWS
Select and fine-tune models
Develop and deploy ML models
Develop and deploy generative AI applications
Optimize for performance
Collaborate with customer stakeholders
Identify AI/ML use cases
Propose strategies for implementing ML
Propose strategies for implementing generative AI
Provide technical guidance on AI
Provide technical guidance on ML
Provide technical guidance on generative AI
Troubleshoot throughout project delivery
Ensure adherence to best practices
Act as trusted advisor to customers
Share knowledge within the organization
Create reusable AI/ML artifacts
Prototype new technologies
Evaluate technical feasibility
How You'll Work.
Team & Collaboration
Customer teams; AWS Partner Network; Global specialty practices; Cross-disciplinary projects
Communication Scope
Technical guidance; Trusted advisor
Full Job Description
This position requires that the candidate selected be a US Citizen and currently possess and maintain an active Top Secret security clearance. The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Machine Learning Engineer to join our team at Amazon Web Services (AWS). Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their AI transformation journey, providing deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle. As a Machine Learning Engineer within the AWS Professional Services organization, you will be proficient in architecting complex, scalable, and secure machine learning solutions tailored to meet the specific needs of each customer. You'll help customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, and define paths to navigate technical or business challenges. Working closely with stakeholders, you'll assess current data infrastructure, develop proof-of-concepts, and propose effective strategies for implementing AI and generative AI solutions at scale. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. 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 computing initiatives. Our team provides a collection of offerings which help customers achieve
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