GenAI & ML Solutions Engineer for ProServe

Amazon Web Services, Inc.

Arlington (VA)

On-site

USD 131,000 - 178,000

Full time

6 days ago
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Job summary

Amazon Web Services (AWS) Professional Services seeks a Machine Learning Engineer to design, evangelize, implement, and scale AI/ML solutions for customers. You will identify use cases, train models, and guide AI transformations with a focus on generative AI and responsible practices.

This role requires US citizenship and a TS/SCI clearance, offering opportunities to work on high-impact, enterprise-scale projects across industries within a global services context.

Qualifications

  • 3+ years of ML/statistical modeling, data analysis tools and performance tuning.
  • Current TS/SCI security clearance.
  • Experience defining benchmarks for GenAI model performance.
  • Experience applying quantitative analysis to business problems across teams.
  • 2+ years of computer vision experience.
  • Knowledge of AWS services including compute, storage, networking, security, databases, ML, and serverless tech.
  • Master's degree or above in STEM.
  • 2+ years of cloud architecture and solution implementation experience.
  • Ability translating complex solutions to diverse audiences.

Responsibilities

  • Design and implement scalable AI/ML solutions on AWS for customers.
  • Select and fine-tune models for specific use cases.
  • Develop and deploy ML models and generative AI apps that solve real-world problems.
  • Collaborate with stakeholders to gather requirements and propose AI strategies.
  • Provide guidance on responsible AI and cost-efficient practices.
  • Mentor teammates and prototype new technologies.

Skills

Machine learning
GenAI
Computer vision
Benchmarking
Cross-team collaboration

Education

Master's degree in STEM

Tools

AWS services
Cloud architectures

Job description

Amazon Web Services (AWS) Professional Services seeks a Machine Learning Engineer to design, evangelize, implement, and scale AI/ML solutions for customers. You will identify use cases, train models, and guide AI transformations with a focus on generative AI and responsible practices.

This role requires US citizenship and a TS/SCI clearance, offering opportunities to work on high-impact, enterprise-scale projects across industries within a global services context.

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