Delivery Consultant

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). This role involves working directly with customers to design, evangelize, implement, and scale AI/ML solutions that meet their technical requirements and business objectives. You will 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 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.
• Designing and running experiments, researching new algorithms, and finding new ways of optimizing risk, profitability, and customer experience.

Requirements & Tech Stack

• US Citizen
• Must currently possess an active TS security clearance.

Qualifications

• 2+ years of cloud architecture and solution implementation experience.
• 3+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance.
• Experience in professional software engineering & best practices for the full software development lifecycle, 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.
• 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) is preferred.
• Experience translating technical aspects of analysis and metrics into actionable insights for both technical and non-technical stakeholders.