GenAI AI/ML Solutions Engineer

Amazon Web Services (AWS); Arlington (VA); On-site; USD 131,300 - 177,600; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon Web Services (AWS) ProServe is seeking a Machine Learning Engineer to design, evangelize, implement, and scale AI/ML solutions for customers. You will work directly with clients to align technical requirements with business objectives and drive successful AI transformations.

The role requires deep expertise in ML, Generative AI, and best practices across project lifecycles, with a focus on scalable and secure cloud solutions on AWS.

Qualifications

• 3+ years of ML/statistical modeling, data analysis tools and performance parameters.
• 2+ years of cloud architecture and solution implementation experience.
• Experience in SDLC, coding standards, software architectures, code reviews, source control, CI/CD, testing and operations.
• Experience in defining benchmarks for GenAI model performance.
• Experience applying quantitative analysis to solve business problems across multi-team projects.

Responsibilities

• Design, implement scalable AI/ML solutions on AWS tailored to customer needs, selecting and fine-tuning models.
• Develop and deploy ML models and GenAI apps, optimizing performance at scale.
• Collaborate with stakeholders to identify high-value AI/ML use cases, gather requirements, and propose strategies.
• Provide guidance on applying AI/ML responsibly and cost-efficiently, ensuring best practices.
• Advise customers on latest AI/ML advancements and data strategies; mentor teammates and create reusable AI artifacts.
• Share knowledge within the organization, mentor, and prototype new technologies.

Skills

Machine Learning

Cloud Architecture

Software Engineering

GenAI Benchmarks

Cross-functional Collaboration

Education

Master's degree or above (STEM)

Tools

AWS

Serverless

Job description

Amazon Web Services (AWS) ProServe is seeking a Machine Learning Engineer to design, evangelize, implement, and scale AI/ML solutions for customers. You will work directly with clients to align technical requirements with business objectives and drive successful AI transformations.

The role requires deep expertise in ML, Generative AI, and best practices across project lifecycles, with a focus on scalable and secure cloud solutions on AWS.