Amazon

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

Amazon
Apply
3 days ago
Herndon, VA, USA or Arlington, VA, USAMid Level
H1B sponsor

Base Salary

$131k - $178k/yr

Responsibilities

  • Design and implement scalable, secure AI/ML solutions on AWS, including selecting and fine-tuning models for customer use cases.
  • Develop and deploy machine learning models and generative AI applications, conduct experiments, and optimize performance at scale.
  • Collaborate with customer stakeholders to identify high-value use cases, gather requirements, and define implementation strategies.
  • Provide technical guidance on responsible, cost-efficient AI and machine learning adoption and troubleshoot throughout project delivery.
  • Advise customers on AI/ML advancements, emerging technologies, and the use of diverse data sources.
  • Mentor team members, provide training, create reusable AI/ML artifacts, and prototype and evaluate new technologies.

Requirements

  • At least 3 years of cloud architecture and solution implementation experience.
  • Knowledge of AWS services including EC2, ELB, RDS, Route 53, and S3.
  • Knowledge of professional software engineering practices across the full software development lifecycle.
  • At least 3 years of experience with machine learning, statistical modeling, data analysis tools and techniques, and performance parameters.
  • Experience defining and creating benchmarks for assessing generative AI model performance.
  • Experience applying quantitative analysis to business problems and working on multi-team, cross-disciplinary projects.
  • At least 2 years of computer vision experience.
  • Current, active U.S. Government TS/SCI or higher security clearance.
  • U.S. citizenship is required.
  • Preferred qualifications include 5+ years of IT implementation experience, an advanced technology degree or AWS Professional-level certification, and experience with AWS compute, storage, networking, security, databases, machine learning, and serverless services.
  • Preferred qualifications include knowledge of HIPAA and GDPR, cloud technology design and implementation, large-scale business software or infrastructure delivery, cloud performance optimization and cost management, and presenting technical solutions in pre-sales environments.

Benefits

  • Comprehensive benefits include medical, dental, vision, prescription, life and AD&D insurance, supplemental life plan options, an employee assistance program, mental health support, a medical advice line, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.
  • AWS promotes work-life flexibility, inclusive employee-led affinity groups, mentorship, knowledge sharing, and career development resources.
  • The position is located in Arlington or Herndon, Virginia; the posting does not specify a remote or hybrid arrangement.

Tech Stack

Categories

Solutions Engineering
Amazon

About Amazon

10,000+ employees

Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.

Contact me