Drimva

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

First seen Oct 20, 2026 · Last verified Nov 5, 2026 (UTC)