Machine Learning Engineer , Data & Machine Learning (DML)

Amazon • Jessup, MD

1d • Onsite

About The Position

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Machine Learning Engineer to join their team at Amazon Web Services (AWS). This role involves working at the forefront of Machine Learning and AI, applying Generative AI algorithms to solve real-world problems with significant impact. The engineer 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. The position requires 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, the individual will architect complex, scalable, and secure machine learning solutions tailored to customer needs. They will help customers scope use cases, select, train, and fine-tune models, and navigate technical or business challenges. This involves assessing current data infrastructure, developing proof-of-concepts, proposing strategies for implementing AI and generative AI solutions at scale, designing and running experiments, researching new algorithms, and optimizing risk, profitability, and customer experience. The AWS Professional Services organization is a global team of experts helping customers achieve business outcomes using the AWS Cloud, working with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives, and providing focused guidance through global specialty practices. This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance.

Requirements

• Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
• 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
• 3+ years of machine learning/statistical modeling data analysis tools and techniques
• Current, active US Government Security Clearance of Top Secret or above

Nice To Haves

• Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
• Experience working on multi-team, cross-disciplinary projects
• Experience applying quantitative analysis to solve business problems and making data-driven business decisions
• Experience in defining and creating benchmarks for assessing GenAI model performance

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

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior