Senior Forward Deployed Deep Learning Architect (AI)

TL;DR

Senior Forward Deployed Deep Learning Architect (AI): Researching, designing, developing, and evaluating generative AI solutions to address real-world challenges with an accent on optimizing risk, profitability, and customer experience. Focus on interacting with customers directly to understand their business problems and guide them on adoption patterns and paths to production.

Location: Seoul, KOR

Company

hirify.global Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform.

What you will do

• Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate generative AI solutions to address real-world challenges.
• Interact with customers directly to understand their business problems, aid them in implementation of generative AI solutions, brief customers and guide them on adoption patterns and paths to production.
• Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholders.
• Provide customer and market feedback to product and engineering teams to help define product direction.

Requirements

• Bachelor's degree in computer science or equivalent.
• Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in software development.
• 7+ years of experience designing, building, and/or operating cloud solutions in AI/GenAI production environments, specifically in AWS cloud native environments.
• Years of customer-facing consultative experience engaging with clients to diagnose issues, solve complex technical challenges, and deliver solutions across multiple projects and production environments.

Nice to have

• Masters or PhD degree in computer science, or related technical, math, or scientific field.
• Strong working knowledge of deep learning, machine learning, generative AI, and statistics.
• Experience building generative AI applications on AWS using services such as hirify.global Bedrock and hirify.global SageMaker.
• Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients.
• Experience building cloud solutions with AWS.

Culture & Benefits

• AWS values diverse experiences and encourages candidates to apply even if they do not meet all qualifications.
• Employee-led and company-sponsored affinity groups promote inclusion and empower people to take pride in what makes them unique.
• Endless knowledge-sharing, mentorship and other career-advancing resources are available to help you develop into a better-rounded professional.
• AWS values work-life harmony and strives for flexibility as part of its working culture.