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Amazon Machine Learning Engineer AWS Field Experiences United States, Massachusetts, Boston 138813911
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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.
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
Work/Life BalanceMentorship 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.
- 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
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