컴퓨터 비전 및 멀티모달 AI 모델을 활용해 산업 현장의 문제를 정의하고 해결하는 솔루션을 개발해요. 7년 이상의 경력 또는 그에 준하는 전문성을 갖춰야 하며, 포트폴리오 제출이 필수예요. 고객사와의 기술적 논의 및 프로젝트 아키텍처 설계를 주도하며, 해외 출장에 결격 사유가 없어야 해요. 채용 과정 중 추가 과제가 포함될 수 있어요.
The AIE Team solves problems across various industrial domains through AI technology. We design and enhance AI solutions that meet the performance standards required in real-world environments.
Rather than stopping at model performance validation, we continuously improve the full pipeline from data, model, evaluation, to iteration. Our core goal is to design and build AI solutions that can be practically applied and scaled, while addressing challenges that arise in real operating environments.
As a Senior AI Engineer on the AIE Team, you will reinterpret problems defined in various industrial environments from an AI perspective and design approaches to solve them.
You will explore the methods and strategies needed to meet the performance levels expected in real-world environments, and gradually shape solutions through repeated experimentation and analysis. You will also participate in building realistic AI solutions by considering both business requirements and technical constraints.
In addition, you will contribute to problem definition and direction setting through technical feasibility reviews at the early stages of projects and discussions with customers. As a senior engineer, you will collaborate with various stakeholders inside and outside the team and take a proactive role in making technical decisions to solve complex problems.
We encourage you to apply even if you do not meet every requirement. We know that outstanding candidates who meet every qualification are rare. We also believe that technical diversity within the team is important. If you are interested in this role, please do not hesitate to apply.
The AIE Team is composed of AI Engineers who develop AI models across various industrial domains, and we continuously pursue technical advancement based on a shared technology foundation.
AI Engineers within the team participate in projects across multiple areas, including ITS and industrial safety, building experience across domains. Through a shared technical stack that can be applied across projects, we are able to adapt quickly to new domains.
The AIE Team also places strong value on building technical assets and sharing knowledge. We document the results and learnings from each project internally and continue to share codebases across the team.
This collaborative structure helps us build an engineering culture where the entire team grows together, beyond the model development capabilities of each individual engineer.