AI Platform Engineer

Responsibilities

• Design and build the initial architecture for the internal AI platform
• Design and automate pipelines for machine learning model training and deployment
• Develop AI Agent-based services and integrate them with internal systems
• Configure and operate GPU servers and AI infrastructure environments
• Establish environments for monitoring and improving AI service performance
• Define business requirements as AI problems and derive technical implementation strategies

Requirements

• Bachelor's degree or higher in a related field
• 3+ years of relevant professional experience
• Experience in machine learning or deep learning model development (including projects)
• Experience building AI services or data pipelines (including personal/academic projects)
• Understanding of or experience using container-based development environments like Docker
• Fundamental understanding of REST APIs or system integration

Preferred Qualifications

• Experience using MLOps tools such as Kubernetes, Airflow, or MLflow
• Experience with manufacturing data analysis or manufacturing-related projects
• Experience developing LLM-based services (RAG, Agents, etc.)
• Experience operating on-premise environments or GPU servers
• Experience building AI platforms or internal services

About the Company

SK keyfoundry is a leading semiconductor company dedicated to driving innovation through advanced technology and digital transformation.