Amazon
Delivery Consultant- AI/ML, Data & Machine Learning (DML)
$131K–$178K
Arlington, VA +1 · Full-time · Posted Oct 19, 2026
- Location
- Arlington, VA
Herndon, VA - Experience
- 3+ years in machine learning/statistical modeling and data analysis; 2+ years in computer vision. Preferred: 2+ years of cloud architecture and solution implementation.
- Visa sponsorship
- Candidate must be a US Citizen and currently possess and maintain an active TS/SCI security clearance.
About the job
Designs and delivers scalable, secure AI/ML and generative AI solutions on AWS for customers, guiding projects from use-case discovery through implementation and optimization.
What you'll do
- Design, deploy, and optimize customer-specific machine learning models and generative AI applications, including model selection and fine-tuning.
- Work with customer stakeholders to identify valuable use cases, gather requirements, and develop implementation strategies and experiments.
- Advise customers on responsible, cost-efficient AI/ML practices and share expertise through mentoring, training, and reusable artifacts.
What they ask for
- 3+ years of experience with machine learning/statistical modeling, data analysis tools and techniques, and factors affecting performance.
- Experience defining and creating benchmarks for assessing GenAI model performance.
- Experience applying quantitative analysis to business problems and working on multi-team, cross-disciplinary projects.
- 2+ years of computer vision experience; current, active US Government Security Clearance of TS/SCI or above.
Nice to have
- Knowledge of AWS services, including compute, storage, networking, security, databases, machine learning, and serverless technologies.
- 2+ years of cloud architecture and solution implementation experience; performance optimization and cloud cost management experience.
Pay
131,300.00 - 177,600.00 USD annually (base salary); 131,300.00 - 177,600.00 USD annually (base salary)
Tools
AWS, GenAI
AI focus
Applies machine learning, computer vision, and generative AI to customer business problems; selects and fine-tunes models, benchmarks performance, and develops scalable AI solutions.
Model-written summary · the original posting is authoritative