Drimva

Amazon

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

$131K–$178K

Arlington, VA +1 · Full-time · Posted Jul 11, 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.
Education
Preferred: Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM).
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 for AWS customers, from identifying use cases through deployment and optimization.

What you'll do

  • Design, implement, and scale customer-specific AI/ML solutions on AWS, including selecting and fine-tuning models.
  • Develop and deploy machine learning models and generative AI applications; run experiments and optimize performance.
  • Advise customers on use cases, implementation strategies, responsible AI practices, and emerging technologies.

What they ask for

  • Knowledge of professional software engineering practices across the full software development life cycle.
  • 3+ years of experience with machine learning/statistical modeling, data analysis tools and techniques, and performance parameters.
  • Experience defining and creating benchmarks for assessing GenAI model performance and applying quantitative analysis to business problems in cross-disciplinary projects.
  • 2+ years of computer vision experience.

Nice to have

  • Knowledge of AWS services across compute, storage, networking, security, databases, machine learning, and serverless technologies.
  • Master's degree or above in STEM; 2+ years of cloud architecture and solution implementation experience.

Pay

USD 131,300.00 - 177,600.00 annually (base salary); USD 131,300.00 - 177,600.00 annually (base salary)

Tools

AWS, GenAI

AI focus

Builds and deploys machine learning and generative AI solutions, including model selection and fine-tuning, performance benchmarking, experimentation, and responsible application.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)