Delivery Consultant- AI/ML, WWPS ProServe Delivery Team

About the role

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Machine Learning Engineer to join our team at Amazon Web Services (AWS). 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 through their AI transformation journey, providing deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle.

Key job responsibilities

• Designing and implementing complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine-tuning appropriate models for specific use cases
• Developing and deploying machine learning models and generative AI applications that solve real-world business problems, conducting experiments and optimizing for performance at scale
• Collaborating 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
• Providing technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently, troubleshooting throughout project delivery and ensuring adherence to best practices
• Acting as a trusted advisor to customers on the latest advancements in AI/ML, emerging technologies, and innovative approaches to leveraging diverse data sources for maximum business impact
• Sharing knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and working with team members to prototype new technologies and evaluate technical feasibility

Basic qualifications

• 2+ years of cloud architecture and solution implementation experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques
• Experience in professional software engineering & best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
• Experience in defining and creating benchmarks for assessing GenAI model performance
• Experience applying quantitative analysis to solve business problems and working on multi-team, cross-disciplinary projects

Preferred qualifications

• Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
• Experience in performance optimization and cost management for cloud environments
• Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
• Experience translating complex technical solutions and data-driven insights into clear, actionable recommendations for diverse audiences, including both technical and non-technical stakeholders

Pay

• USA, CO, Denver - 131,300.00 - 177,600.00 USD annually
• USA, GA, Atlanta - 131,300.00 - 177,600.00 USD annually
• USA, IL, Chicago - 131,300.00 - 177,600.00 USD annually
• USA, NJ, Jersey City - 144,500.00 - 195,400.00 USD annually
• USA, NY, New York - 144,500.00 - 195,400.00 USD annually
• USA, TX, Austin - 131,300.00 - 177,600.00 USD annually
• USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually
• USA, TX, Houston - 131,300.00 - 177,600.00 USD annually
• USA, VA, Arlington - 131,300.00 - 177,600.00 USD annually
• USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually

Benefits

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

This response is AI-generated, for reference only.