Machine Learning Engineer, Data & Machine Learning (DML) Job at Amazon in Arling

Machine Learning Engineer, Data & Machine Learning (DML)

Job ID: 10394704 | Amazon Web Services, Inc.

This position requires the candidate to be a US Citizen and currently possess and maintain an active TS/SCI security clearance.

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Machine Learning Engineer to work at the forefront of Machine Learning and AI. In this role, you will work directly with customers to design, evangelize, implement, and scale AI/ML solutions that meet their technical requirements and business objectives, driving customer success through their AI transformation journey.

Key Responsibilities

• Design and implement complex, scalable, and secure AI/ML solutions on AWS, including selecting and fine‑tuning appropriate models for specific use cases.


• Develop and deploy machine learning models and generative AI applications that solve real‑world business problems, conduct experiments, and optimize performance at scale.


• Collaborate with customer stakeholders to identify high‑value AI/ML use cases, gather requirements, and propose effective implementation strategies.


• Provide technical guidance on responsible and cost‑efficient application of AI and generative AI, troubleshoot throughout project delivery and ensure adherence to best practices.


• Act as a trusted advisor to customers on the latest AI/ML advancements and innovative approaches to leveraging diverse data sources.


• Mentor and train teammates, create reusable AI/ML artifacts, and work with the organization to prototype new technologies and evaluate technical feasibility.

Basic Qualifications

• Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM), or equivalent experience.


• 3+ years of experience with machine learning/statistical modeling, data analysis tools and techniques.


• Experience in professional software engineering best practices for the full software development life cycle (coding standards, software architecture, code reviews, source control, continuous deployments, testing, operational excellence).


• Current, active US Government Security Clearance of TS/SCI.

Preferred Qualifications

• Master's degree or above in STEM.


• Experience working on multi‑team, cross‑disciplinary projects.


• Experience applying quantitative analysis to solve business problems and make data‑driven decisions.


• Knowledge of machine learning concepts and their application to reasoning and problem‑solving.


• Experience defining and creating benchmarks for assessing GenAI model performance.


• Experience with Python, SQL/NoSQL, and API development for building and deploying AI/ML solutions.


• Experience working with Large Language Models (LLMs), prompt engineering, and generative AI frameworks.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.