Machine Learning Engineer , AWS Field Experiences at Amazon
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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.
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.