Deep Learning Architect, AWS Generative AI InnovationCenter Job ID: 2801784 | AWS EMEA SARL (UK Branch) The GenerativeAI Innovation Center at AWS helps AWS customers accelerate the useof Generative AI and realize transformational businessopportunities. This is a cross-functional team of ML scientists,engineers, architects, and strategists working step-by-step withcustomers to build bespoke solutions that harness the power ofgenerative AI. As a Deep Learning Architect, you'll partner withtechnology and business teams to build solutions that surprise anddelight our customers. You will work directly with customers andinnovate in a fast-paced organization that contributes togame-changing projects and technologies. We’re looking forEngineers and Architects capable of using generative AI and otherML techniques to design, evangelize, and implement state-of-the-artsolutions for never-before-solved problems. Emirati national isrequired. Key job responsibilities 1. Collaborate with MLscientists and engineers to research, design and developcutting-edge generative AI algorithms to address real-worldchallenges. 2. Work across customer engagement to understand whatadoption patterns for generative AI are working and rapidly sharethem across teams and leadership. 3. Interact with customersdirectly to understand the business problem, help and aid them inimplementation of generative AI solutions, deliver briefing anddeep dive sessions to customers and guide customer on adoptionpatterns and productionization paths for generative AI. 4. Createand deliver reusable technical assets that help to accelerate theadoption of generative AI on AWS platform. 5. Create and deliverbest practice recommendations, tutorials, blog posts, sample code,and presentations adapted to technical, business, and executivestakeholder. 6. Provide customer and market feedback to Product andEngineering teams to help define product direction. BASICQUALIFICATIONS - Bachelor’s degree in computer science,engineering, mathematics or equivalent - Experience in design,implementation, or consulting in applications and infrastructures -Experience architecting or deploying Cloud/Virtualization solutionsin enterprise customers - Proven knowledge of deep learning andexperience hosting and deploying ML solutions (e.g., for training,tuning, and inferences) - Scientific thinking and the ability toinvent, a track record of thought leadership and contributions thathave advanced the field PREFERRED QUALIFICATIONS - MSc degree incomputer science, engineering, mathematics or equivalent - Provenknowledge of Generative AI and hands-on experience of buildingapplications with large foundation models - Proven knowledge of AWSplatform and tools - Hands-on experience of building ML solutionson AWS - Experience in professional software development Posted:August 28, 2024 (Updated about 15 hours ago)#J-18808-Ljbffr
