Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
5 years of experience in Artificial Intelligence applications (e.g., deep learning, natural language processing, computer vision, or pattern recognition).
Experience delivering technical presentations and leading business value sessions.
Experience working with programming language (e.g. Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch).
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:
Master's degree in Computer Science, Engineering, or a related technical field.
Experience designing and deploying with one or more of the following ML frameworks: TensorFlow, PyTorch, JAX, Spark ML, etc.
Experience training and fine tuning models in large-scale environments (e.g., image, language, recommendation) with accelerators.
Experience with distributed training and optimizing performance versus costs.
Experience with CI/CD solutions in the context of MLOps and LLMOps, including automation with IaC (e.g. using terraform).
Experience in systems design with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.