Machine Learning Engineer , AWS Field Experiences Full-time

Are you passionate about inventing next-generation software powered by generative AI? Do you want to expand your expertise in ML and deep learning while working with cutting-edge concepts and tools? Do you have a passion for building end-to-end the smart software products that can deliver high business impact? AWS Field Experiences (AFX) team is looking for you!

As a Machine Learning Engineer at AFX, you’ll be at the forefront of building AI-driven software tools that empower our field teams to win opportunities and generate revenue for AWS. You will work with a team of passionate scientists and engineers to design, develop, and improve generative AI and traditional ML models that drive multiple software products.

Key job responsibilities

* Innovate system architectures using Large Language Models (LLMs) and other forms of generative AI

* Leverage diverse data sources to maximize business impact through ML and AI methods

* Design and develop end-to-end, robust, and scalable pipelines for data preparation, model training, deployment, and monitoring

* Collaborate with scientists, engineers, and product partners to deliver intelligent, feature-rich software

* Mentor and educate our colleagues and customers about how AI technology works, and the ways it may change how knowledge work is done.

About the team

ABOUT AWS:

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 world’s 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. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s 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 non-internship professional software development experience

– 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience

– Experience programming with at least one software programming language

PREFERRED QUALIFICATIONS

– Master’s degree in computer science or equivalent

– 3+ years of machine learning, statistical modeling, data mining, and analytics techniques experience

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.