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As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. 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Join our Machine Learning Operations team for AGI at Amazon! We build and maintain the infrastructure and tooling that enable our Scientists to work on state-of-the-art models. We own the entire machine learning lifecycle, including: data preparation, model training, inference, evaluation, release and deployment. Specifically, we are seeking a passionate Machine Learning Engineer who is: 1) capable of designing and building scalable, reliable ML infrastructure on AWS, solving novel engineering challenges when no textbook solutions exist; 2) eager to collaborate with Scientists to understand their workflows and bring research innovations into production-ready systems. If you thrive in ambiguous environments at the intersection of software engineering and machine learning, this position is for you! Join us and be part of the team shaping the future of speech synthesis, enabling new and exciting GenAI experiences for millions of users worldwide. Basic Qualifications: - BS in Computer Science or equivalent experience. - Proficiency in at least one modern programming language (Java, C/C++, C#). - Experience with Linux/Unix systems and fluent shell interaction. - Solid knowledge of CS fundamentals (algorithms, data structures). - Professional communication skills and ability to contribute to team discussions English language working proficiency. - Experience working along a science team to accelerate development. Preferred Qualifications: - MLOps experience. Amazon is an equal opportunities employer. 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Position: Professional Services II AMZ12918.17 Location: Chicago, IL Multiple Positions Available: 1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs 2. Providing technical guidance and troubleshooting support throughout project delivery 3. Collaborating with stakeholders to gather requirements and propose effective migration strategies 4. Acting as a trusted advisor to customers on industry trends and emerging technologies 5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts (40 hours / week, 8:00am-5:00pm, Salary Range $131300 - $177600) Amazon.com is an Equal Opportunity - Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation Basic Qualifications: Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, or a related field and 3 years of experience in the job offered or a related occupation. 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