Delivery Consultant- AI/ML, Data & Machine Learning (DML)

Amazon Web Services, Inc.; Arlington (VA); On-site; USD 131,000 - 178,000; Full time

Job summary

Amazon Web Services (AWS) Professional Services seeks a Machine Learning Engineer to design, evangelize, implement, and scale AI/ML solutions for customers. You will identify use cases, train models, and guide AI transformations with a focus on generative AI and responsible practices.

This role requires US citizenship and a TS/SCI clearance, offering opportunities to work on high-impact, enterprise-scale projects across industries within a global services context.

Qualifications

• 3+ years of ML/statistical modeling, data analysis tools and performance tuning.
• Current TS/SCI security clearance.
• Experience defining benchmarks for GenAI model performance.
• Experience applying quantitative analysis to business problems across teams.
• 2+ years of computer vision experience.
• Knowledge of AWS services including compute, storage, networking, security, databases, ML, and serverless tech.
• Master's degree or above in STEM.
• 2+ years of cloud architecture and solution implementation experience.
• Ability translating complex solutions to diverse audiences.

Responsibilities

• Design and implement scalable AI/ML solutions on AWS for customers.
• Select and fine-tune models for specific use cases.
• Develop and deploy ML models and generative AI apps that solve real-world problems.
• Collaborate with stakeholders to gather requirements and propose AI strategies.
• Provide guidance on responsible AI and cost-efficient practices.
• Mentor teammates and prototype new technologies.

Skills

Machine learning

GenAI

Computer vision

Benchmarking

Cross-team collaboration

Education

Master's degree in STEM

Tools

AWS services

Cloud architectures

Job description

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 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.

Key job 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

About the team

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.

Mentorship and Career Growth

We're continuously raising our performance bar as we strive to become Earths Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

BASIC QUALIFICATIONS

• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Current, active US Government Security Clearance of TS/SCI or above
• Experience in defining and creating benchmarks for assessing GenAI model performance
• Experience applying quantitative analysis to solve business problems and working on multi-team, cross-disciplinary projects
• 2+ years of computer vision experience

PREFERRED QUALIFICATIONS

• Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
• Experience in performance optimization and cost management for cloud environments
• Master's degree or above in Science, Technology, Engineering, or Mathematics (STEM)
• 2+ years of cloud architecture and solution implementation experience
• Experience translating complex technical solutions and data-driven insights into clear, actionable recommendations for diverse audiences, including both technical and non-technical stakeholders

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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 content/en/how-we-hire/accommodations 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 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 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, and parental leave. Learn more about our benefits at en/benefits.

USA, VA, Arlington - 131,300.00 - 177,600.00 USD annually

USA, VA, Herndon - 131,300.00 - 177,600.00 USD annually