WoRV Team is Hiring!

Job Introduction - MLOps Engineer

The WoRV team integrates Fleet Management Systems (FMS) and Teleoperation Systems, enabling seamless collaboration between robots and human teleoperators. Data collected during these processes is used to train and deploy models, forming a continuous feedback loop.

The two primary challenges in this architecture are:

1. Ensuring real-time performance (ultra-low latency under 150ms).
2. Optimizing costs for processing, storing, and transmitting large-scale media data.

As an MLOps Engineer, your role will focus on cost optimization, improving the overall architecture, and implementing scalable solutions to meet these challenges.

Required Skills

• Strong foundational knowledge and engineering skills in Computer Science:
  • Comprehensive understanding of operating systems, data structures, algorithms, databases, and networks.
• Basic understanding of and interest in machine learning and deep learning.
• Proactive attitude toward growth, learning, and sharing knowledge.

Preferred Qualifications

• Experience designing and implementing cost-optimized architectures across on-premise and cloud environments.
• Demonstrated expertise in cost optimization for commercialized services, backed by solid software engineering capabilities.
• Broad knowledge and hands-on experience with ML infrastructure, such as on-premise high-speed networks and large-scale distributed file systems (e.g., Ceph, Lustre).
• Basic proficiency in Korean for effective communication.

Recruitment Process

• Application Review → Coding Test → In-Person Interview → Offer Negotiation → Final Acceptance