Machine Learning Engineer, AWS Generative AIInnovation Center DESCRIPTION The Generative AI Innovation Centerat AWS helps AWS customers accelerate the use of Generative AI andrealize transformational business opportunities. This is across-functional team of ML scientists, engineers, architects, andstrategists working step-by-step with customers to build bespokesolutions that harness the power of generative AI. As an MLEngineer, you'll partner with technology and business teams tobuild solutions that surprise and delight our customers. You willwork directly with customers and innovate in a fast-pacedorganization that contributes to game-changing projects andtechnologies. We're looking for Engineers and Architects capable ofusing generative AI and other ML techniques to design, evangelize,and implement state-of-the-art solutions for never-before-solvedproblems. Key job responsibilities 1. Collaborate with MLscientists and engineers to research, design, and developgenerative AI algorithms to address real-world challenges. 2. Workacross customer engagement to understand what adoption patterns forgenerative AI are working and rapidly share them across teams andleadership. 3. Interact with customers directly to understand thebusiness problem, help and aid them in the implementation ofgenerative AI solutions, deliver briefing and deep dive sessions tocustomers and guide customers on adoption patterns and paths forgenerative AI. 4. Create and deliver reusable technical assets thathelp to accelerate the adoption of generative AI on the AWSplatform. 5. Create and deliver best practice recommendations,tutorials, blog posts, sample code, and presentations adapted totechnical, business, and executive stakeholders. 6. Providecustomer and market feedback to Product and Engineering teams tohelp define product direction. About the team Generative AIInnovation Center is a program that pairs you with AWS science andstrategy experts with deep experience in AI/ML and generative AItechniques to: 1. Imagine new applications of generative AI toaddress your needs. 2. Identify new use cases based on businessvalue. 3. Integrate Generative AI into your existing applicationsand workflows. BASIC QUALIFICATIONS 1. Bachelor's degree incomputer science or equivalent. 2. Experience in professional,non-internship software development. 3. Experience coding inPython, R, Matlab, Java, or other modern programming languages. 4.Several years of relevant experience in developing and deployinglarge scale machine learning or deep learning models and/or systemsinto production, including batch and real-time data processing,model containerization, CI/CD pipelines, API development, modeltraining, and productionizing ML models. 5. Experience contributingto the architecture and design (architecture, design patterns,reliability, and scaling) of new and current systems. PREFERREDQUALIFICATIONS 1. Masters or PhD degree in computer science, orrelated technical, math, or scientific field. 2. Proven knowledgeof deep learning and experience using Python and frameworks such asPytorch, TensorFlow. 3. Proven knowledge of Generative AI andhands-on experience of building applications with large foundationmodels. 4. Experiences related to AWS services such as SageMaker,EMR, S3, DynamoDB, and EC2, hands-on experience of building MLsolutions on AWS. 5. Strong communication skills, with attention todetail and ability to convey rigorous mathematical concepts andconsiderations to non-experts. Amazon is an equal opportunitiesemployer. We believe passionately that employing a diverseworkforce is central to our success. We make recruiting decisionsbased on your experience and skills. We value your passion todiscover, invent, simplify and build. #J-18808-Ljbffr
