Location: Gyeonggi-do
Contract Type: Permanent
Salary: ₩50,000,000 – ₩100,000,000 per annum
A foreign medical device company is searching for a Hybrid MLOps & AI Integration Engineer. The selected candidate will be in charge of deploying, optimizing, and integrating AI models into surgical robotic systems.
Responsibilities:
- Integrate AI models into surgical robotic systems, ensuring compatibility with control loops and real-time operational requirements
- Optimise AI inference for edge devices such as NVIDIA IGX, balancing performance, latency, and power constraints
- Collaborate with robotics engineers to design APIs and interfaces for seamless AI–robot communication
- Architect and implement ETL/ELT workflows for medical imaging and procedural data, including DICOM and sensor data
- Build experiment tracking and model registry pipelines with MLflow or Kubeflow
- Manage hybrid cloud-edge deployments on AWS and on-prem robotic systems using Infrastructure-as-Code
- Containerise AI services with Docker deploy via Kubernetes (EKS) and establish CI/CD pipelines for model updates to robotic platforms
- Develop real-time REST/gRPC APIs for AI inference services, robot communication, and integration with clinical systems
- Implement real-time monitoring for model performance on robots using Grafana and Prometheus with alerts for anomalies
- Collaborate with QA/RA teams to document safety and effectiveness for medical device compliance, including FDA and CE
Requirements:
- Bachelor’s or Master’s in computer science, robotics, or related field
- More than 4 years of backend development experience (real-time APIs, microservices)
- More than 2 years in MLOps or ML deployment
- Hands-on experience deploying AI models to edge devices (e.g., NVIDIA IGX, Jetson)
- Proficient in Python and at least one of C++ or C# for robotic system integration
- Experience with Docker, Kubernetes, and CI/CD pipelines for ML workflows
- Solid understanding of real-time systems, latency optimisation, and control software
- Preferred requirements:
- Familiarity with robotic system integration and real-time control loops.
- Knowledge of medical device compliance and healthcare cybersecurity standards
About the Company:
Based in the United States, this international medical device company specialises in the development of innovative endovascular robotic systems.