Machine Learning Engineer, WWPS ProServe Data and Machine Learning

Overview

Description The Amazon Web Services Professional Services (Pro Serve) team is seeking a skilled Machine Learning Engineer to join AWS. The role involves working at the forefront of machine learning and AI, applying Generative AI algorithms to real-world problems with significant impact. You will work directly with customers to design, evangelize, implement, and scale AI/ML solutions that meet technical requirements and business objectives, driving customer success through their AI transformation journey with deep expertise in machine learning, generative AI, and best practices throughout the project lifecycle.

As a Machine Learning Engineer within the AWS Professional Services organization, you will architect complex, scalable, and secure machine learning solutions tailored to individual customer needs. You will help customers imagine and scope high-value use cases, select and train or fine-tune models, and navigate technical or business challenges. You will assess data infrastructure, develop proofs of concept, and propose strategies for implementing AI and generative AI solutions  will design experiments, research new algorithms, and optimize risk, profitability, and customer experience.

The AWS Professional Services organization is a global team of experts helping customers realize desired business outcomes when using the AWS Cloud. We collaborate with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives, delivering guidance through offerings and global specialty practices across various solutions, technologies, and industries.

This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph.

• Design and implement complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs, including selecting and fine-tuning models for specific use cases
• Develop and deploy machine learning models and generative AI applications to solve real-world business problems; conduct 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-efficiently; troubleshoot throughout project delivery and ensure adherence to best practices
• Act as a trusted advisor on the latest AI/ML advancements, emerging technologies, and innovative approaches to leveraging diverse data sources for maximum business impact
• Share knowledge within the organization through mentoring, training, creating reusable AI/ML artifacts, and prototyping new technologies with team members

• Bachelor's degree or higher in Science, Technology, Engineering, or Mathematics (STEM), or equivalent experience
• 3+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab)
• 3+ years of experience with machine learning/statistical modeling data analysis tools and techniques
• Experience in professional software engineering and full software development lifecycle practices
• Current, active US Government Security Clearance of TS/SCI with Polygraph

• Master's degree or higher in STEM
• Knowledge of machine learning concepts and their applications to reasoning and problem-solving
• 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 make data-driven decisions
• Experience with Python, SQL/No
  
  SQL, and API development for building and deploying AI/ML solutions
• Experience with Large Language Models (LLMs), prompt engineering, and generative AI frameworks

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit (Use the "Apply for this Job" box below). for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and RSUs. Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at .

USA, VA, Arlington -  -  USD annually

USA, VA, Herndon -  -  USD annually

Company - Amazon Web Services, Inc.

Job : A3168182