Delivery Consultant- AI/ML, Data & Machine Learning (DML)

Amazon; Arlington (VA); On-site; USD 131,300 - 177,600; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is looking for a Machine Learning Engineer to join their team in Arlington, VA. This role involves designing and implementing AI/ML solutions tailored to customer needs and collaborating with stakeholders on high-value use cases.

The ideal candidate must hold a Bachelor’s degree or above in STEM and have 3+ years of experience in machine learning. This position requires a current and active Top Secret US Government Security Clearance and offers a competitive salary and comprehensive benefits.

Qualifications

• 3+ years of experience in machine learning and data analysis.
• Current Top Secret US Government Security Clearance.
• Experience in software development lifecycle including coding standards and testing.

Responsibilities

• Designing and implementing AI/ML solutions tailored to customer needs.
• Developing machine learning models and generative AI applications.
• Collaborating with stakeholders to identify AI/ML use cases.

Skills

Machine learning

Generative AI

Statistical modeling

Software engineering best practices

Python

SQL/NoSQL

API development

Large Language Models (LLMs)

Education

Bachelor’s degree in STEM

Master’s degree in STEM

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). 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.

Key Job Responsibilities

• Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine‑tuning appropriate models for specific use cases.
• Developing and deploying machine learning models and generative AI applications that solve real‑world business problems, conducting experiments and optimizing for performance at scale.
• Collaborating with customer stakeholders to identify high‑value AI/ML use cases, gather requirements, and propose effective strategies for implementing machine learning and generative AI solutions.
• Providing technical guidance on applying AI, machine learning, and generative AI responsibly and cost‑efficiently, troubleshooting throughout project delivery and ensuring adherence to best practices.
• Acting as a trusted advisor to customers on the latest advancements in AI/ML, emerging technologies, and innovative approaches to leveraging diverse data sources for maximum business impact.
• Sharing knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and working with team members to prototype new technologies and evaluate technical feasibility.

Basic Qualifications

• Bachelor’s degree or above in Science, Technology, Engineering, or Mathematics (STEM).
• Experience in professional software engineering and best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence.
• 3+ years of machine learning/statistical modeling data analysis tools and techniques.
• Current, active US Government Security Clearance of Top Secret or above.

Preferred Qualifications

• Master’s degree or above in Science, Technology, Engineering, or Mathematics (STEM).
• Experience working on multi‑team, cross‑disciplinary projects.
• Experience applying quantitative analysis to solve business problems and making data‑driven business decisions.
• 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 (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.

If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

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