The Machine Learning Engineer position at Amazon Web Services (AWS) involves designing and implementing complex AI/ML solutions tailored to customer needs. The role requires collaboration with stakeholders to identify high-value use cases and provide technical guidance on AI applications. The AWS Professional Services team is focused on driving customer success through AI transformation journeys. Candidates must possess a Top Secret security clearance and be US Citizens.

• Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
• 3+ years of experience in machine learning or statistical modeling data analysis tools and techniques
• Current, active US Government Security Clearance of Top Secret or above
• Experience in professional software engineering and best practices for the full software development life cycle
• Experience applying quantitative analysis to solve business problems and making data-driven business decisions

• Design and implement complex, scalable, and secure AI/ML solutions on AWS tailored to customer needs.
• Develop and deploy machine learning models and generative AI applications that solve real-world business problems.
• Collaborate with customer stakeholders to identify high-value AI/ML use cases and gather requirements.
• Provide technical guidance on applying AI, machine learning, and generative AI responsibly and cost-efficiently.
• Act as a trusted advisor to customers on the latest advancements in AI/ML and innovative approaches to leveraging diverse data sources.

• Employees at Amazon are often offered comprehensive health benefits—including multiple medical plan options (no pre-existing condition exclusions, 100% covered in-network preventive care), dental and vision plans, a 24/7 medical advice line from day one, expert second-opinion services, and broad mental-health support with several free counseling sessions (including pediatric). Financial wellness typically includes a 401(k) with company match (up to 2%), Restricted Stock Units (equity), FSAs, an emergency savings program, product and partner discounts, and even college-savings and home-purchase programs. Overall, the package is designed to support employees and their families’ health, finances, and day-to-day life.