Amazon Web Services (AWS) is hiring: Machine Learning Engineer, Data & Machine L

Description

This position requires that the candidate be a US Citizen and must 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, applying Generative AI algorithms to solve real world problems with significant impact. 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 tailored to customer needs, including selecting and fine‑tuning appropriate models.


• Develop and deploy machine learning models and generative AI applications to solve real‑world business problems, conducting experiments and optimizing for performance at scale.


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


• Provide technical guidance on responsible, cost‑efficient AI/ML practices, troubleshoot throughout delivery, and ensure adherence to best practices.


• Act as a trusted advisor to customers on the latest advancements in AI/ML and emerging technologies, leveraging diverse data sources for maximum business impact.


• Share knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and evaluating technical feasibility of new technologies.

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 performance tuning.


• Experience in professional software engineering and best practices for the full software development life cycle.


• 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 making data‑driven decisions.


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


• Experience in 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, 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.

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.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, VA, Arlington - 131,300.00 - 177,600.00 USD annually

USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually

Job ID: A10394704