Amazon Web Services
Sr. Delivery Consultant - AI/ML, WWPS ProServe
US, GA, Atlanta · 15d ago
Citizen / GC only5+ YOE
Quick summary
AI parsed- Experience
- 5+ years of machine learning, statistical modeling, data mining, and analytics techniques; 3+ years of cloud architecture and solution implementation; professional software engineering best practices; GenAI model performance assessment; technical communication skills
- Salary
- USA varies by location: CO/GA/TX $153,600–$207,800; NJ/NY $169,000–$228,600 USD annually
Responsibilities
- Design and implement complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine-tuning appropriate models
- Develop and deploy machine learning models and generative AI applications that solve real-world business problems, conducting experiments and optimizing for performance at scale
- Collaborate with customer stakeholders to identify high-value AI/ML use cases, gather requirements, and propose effective strategies for implementing machine learning and generative AI solutions
- Provide technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently, troubleshooting throughout project delivery
Benefits
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and Supplemental life plans) · EAP and Mental Health Support · 401(k) matching · Paid time off and parental leave · Flexible Spending Accounts · Adoption and Surrogacy Reimbursement coverage · Sign-on payments and restricted stock units (RSUs) · Work/life balance and flexibility
Full description
Application deadline: Oct 7, 2026 The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Machine Learning Engineer to join our team at Amazon Web Services (AWS). Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply Generative AI algorithms to solve real world problems with significant impact? In this role, you'll work directly with customers to design, evangelize, implement, and scale AI/ML solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success throug…