Jobs and Careers
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Machine Learning Engineer , AWS Field Experiences
Amazon.comUnited Statesfull_timeVerifiedPosted 2 Aug 2024
About the role
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.
- 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
- 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.
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.
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.
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