[담당업무]

▣ Role Description
The MLOps Engineer will lay the foundation for how we build, deploy, and manage AI models at scale.
This role involves designing a robust, automated, and compliant MLOps framework that ensures continuous delivery and reliable operation of our AI systems.
The MLOps Engineer will oversee the entire lifecycle of models in production—from deployment to monitoring and retraining.
Their work is critical to accelerating the model development process while maintaining the highest standards of quality and governance in a mission-critical environment.

▣Qualifications:
• Education: Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
• Experience: Minimum of 3 years in DevOps, Software Engineering, or MLOps roles.
• Skills:
o Hands-on experience in building and managing MLOps platforms and tools.
o Strong proficiency with CI/CD tools, container orchestration, and infrastructure automation.
o Solid programming and scripting skills (e.g., Python, Bash).
o Experience with monitoring and logging tools.
• Domain knowledge: Strong understanding of the machine learning lifecycle and the challenges of deploying models in production.
• Other skills: A systematic and detailed-oriented approach to problem-solving.
• Strong interpersonal and communication skills.
• Ability to excel in a fast-paced, startup-like environment with a focus on innovation and adaptability.
• English Proficiency: Professional-level English communication skills are a plus.
• Preferred:
o Master’s degree or higher in a relevant field.
o Experience building MLOps infrastructure in regulated industries (e.g., biopharma, finance).

[자격요건]

경력: 경력 3년↑
학력: 대졸
직무기술: MLOPs, DevOps