Bachelor's degree or equivalent practical experience.
4 years of experience with cloud native architecture in a customer-facing or support role.
Experience with generative AI, including Large Language Models (LLMs), multi-modal models, and leveraging frameworks.
Experience presenting technical solutions and their business value to both technical stakeholders and executive leadership.
Experience architecting and building machine learning(ML)/data analytics(DA) solutions, including data pipelines, ML pipelines, model training and serving infrastructure.
Ability to communicate in English and Korean fluently as this is a customer-facing role that requires interactions in English and Korean with local stakeholders.
Preferred qualifications:
Experience with Machine Learning model development and deployment frameworks for deep learning (e.g. PyTorch, Tensorflow, Jax, Ray, etc.), AI accelerators (e.g. TPUs, GPUs), and using machine learning APIs.
Experience in building machine learning solutions and leveraging specific machine learning architectures (e.g. deep learning, LSTM, convolutional networks).
Experience in data and information management as it relates to big data and AI trends and issues within businesses.
Experience in architecting and developing software or infrastructure for distributed systems.
Ability to learn, understand, and work with emerging technologies, methodologies, and solutions in the Cloud/IT Technology space.