Machine Learning Engineer, WWPS ProServe Data and Machine Learning

Amazon • Herndon, VA

3d

About The Position

The Amazon Web Services Professional Services (ProServe) team is seeking a
skilled Machine Learning Engineer to join our team at Amazon Web Services (AWS).
Are you looking to work at the forefront of Machine Learning and AI? Would you
be excited to apply Generative AI algorithms to solve real world problems with
significant impact? 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.

As a Machine Learning Engineer within the AWS Professional Services
organization, you will be proficient in architecting complex, scalable, and
secure machine learning solutions tailored to meet the specific needs of each
customer. You'll help customers imagine and scope the use cases that will create
the greatest value for their businesses, select and train and fine tune the
right models, and define paths to navigate technical or business challenges.
Working closely with stakeholders, you'll assess current data infrastructure,
develop proof-of-concepts, and propose effective strategies for implementing AI
and generative AI solutions at scale. You will design and run experiments,
research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

The AWS Professional Services organization is a global team of experts that help
customers realize their desired business outcomes when using the AWS Cloud. We
work together with customer teams and the AWS Partner Network (APN) to execute
enterprise cloud computing initiatives. Our team provides assistance through a
collection of offerings which help customers achieve specific outcomes related
to enterprise cloud adoption. We also deliver focused guidance through our
global specialty practices, which cover a variety of 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.

Requirements

• Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• 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

Nice To Haves

• Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
• Knowledge of machine learning concepts and their application to reasoning and problem-solving
• Experience in defining and creating benchmarks for assessing GenAI model performance
• Experience working on multi-team, cross-disciplinary projects
• Experience applying quantitative analysis to solve business problems and making data-driven business decisions
• Experience with Python, SQL/NoSQL, and API development for building and deploying AI/ML solutions
• Experience working with Large Language Models (LLMs), prompt engineering, and generative AI frameworks

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

• 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: Mid Level