Machine Learning Engineer, WWPS ProServe Delivery Team

The following description outlines the role of a Machine Learning Engineer on the AWS ProServe Delivery Team, onsite in Arlington, VA, focused on designing, implementing, and scaling AI/ML and generative AI solutions for customers.

Responsibilities

• Design, implement, and scale secure AI/ML solutions on AWS tailored to customer needs, selecting and fine-tuning models for specific use cases
• Develop and deploy machine learning models and generative AI applications that address real-world business problems, run experiments, and optimize performance at scale
• Collaborate with customer stakeholders to identify high-value AI/ML use cases, gather requirements, and propose effective implementation strategies
• Provide technical guidance on applying AI, machine learning, and generative AI responsibly and cost-effectively, troubleshoot throughout project delivery, and ensure adherence to best practices
• Act as a trusted advisor to customers on the latest AI/ML advancements, emerging technologies, and innovative approaches to leveraging diverse data sources for business impact
• Share knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and prototyping new technologies with team members

Requirements

• Bachelor's degree or higher in Science, Technology, Engineering, or Mathematics (STEM)
• 3+ years of experience with machine learning, statistical modeling, data analysis tools, and techniques
• Experience in professional software engineering and the full software development lifecycle, including coding standards, architectures, code reviews, source control, continuous deployments, testing, and operational excellence
• Current TS/SCI security clearance

Technologies

• AWS

Benefits

• Health insurance (medical, dental, vision, prescription) and Life & AD&D insurance, with option for Supplemental life plans
• 401(k) matching
• Paid time off
• Parental leave
• Sign-on payments and restricted stock units (RSUs)
• Adoption and Surrogacy Reimbursement coverage
• Flexible Spending Accounts
• Employee Assistance Program (EAP)
• Mental Health Support
• Medical Advice Line

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed, we encourage you to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate, earning the trust of customers from startups to Global 500 companies with a robust suite of products and services to power their businesses.

Work/Life Balance

We value work-life harmony and strive for flexibility as part of our working culture. When employees feel supported both at work and at home, they can achieve more in the cloud.

Inclusive Team Culture

At AWS, curiosity and learning are embraced. Our employee-led affinity groups foster inclusion and celebrate diverse perspectives.

Mentorship and Career Growth

We continually raise the performance bar and provide knowledge-sharing, mentorship, and career-advancing resources to help you grow into a well-rounded professional.

Preferred Qualifications

• Master's degree or higher in STEM
• Experience defining and creating benchmarks for GenAI model performance
• Experience working on multi-team, cross-disciplinary projects
• Experience applying quantitative analysis to solve business problems and making data-driven decisions