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: Data Engineering, Machine Learning, Data Analysis. Design, build, and maintain scalable data pipelines. Develop and implement machine learning models”
Industry & Context.
Data analysis; Troubleshooting; Root cause analysis
What They're Looking For.
Must Have
Bachelor's degree or equivalent experience, 5+ years of experience in data engineering or related field, Proficiency in SQL, Experience with at least one programming language (e.g., Python, Java, Scala)
Nice to Have
Master's degree or PhD in a quantitative field, Experience with cloud platforms (AWS, Azure, GCP), Experience with machine learning frameworks, Experience with data warehousing solutions, Experience with BI tools
What You'll Do.
and maintain scalable data pipelines
Develop and implement machine learning models
Analyze large datasets to extract actionable insights
Build and maintain BI dashboards and reports
Collaborate with stakeholders to understand data needs
Ensure data quality and integrity
Optimize data infrastructure for performance and cost
Stay up-to-date with emerging technologies
How You'll Work.
Team & Collaboration
Cross-functional teams; Stakeholders; Engineering teams
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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