Sr. Machine Learning Engineer, WWPS ProServe Data and Machine Learning

Sr. Machine Learning Engineer, WWPS Pro Serve Data and Machine Learning

Job  | Amazon Web Services, Inc.

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

The Amazon Web Services Professional Services (Pro Serve) 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.

• 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

• Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
• 5+ years of experience with data querying languages (e.g., SQL), scripting languages (e.g., Python) or statistical/mathematical software (e.g., R, SAS, Matlab, etc.)
• 5+ years of experience with machine learning/statistical modeling data analysis tools and techniques, and understanding of parameters that affect their performance
• 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
• Current, active US Government Security clearance of TS/SCI with Polygraph

• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
• Experience applying quantitative analysis to solve business problems and making data-driven business decisions
• Knowledge of machine learning concepts and their application to reasoning and problem-solving
• Experience transforming legacy SIGINT/Cyber capabilities with machine learning approaches, and building models within SIGINT/Cyber operational constraints
• Experience applying data science within Intelligence Community production chains
• 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

The base salary range for this position is $ - $ USD annually. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription), Basic Life & AD&D insurance, optional Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage, 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at (Use the "Apply for this Job" box below)./benefits

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.