[의료기기/엔지니어] Hybrid MLOps & AI Integration Engineer

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.

Keywords:

엔지니어, 의료 기기, 의료, 기술, 로봇 공학, 글로벌

Job Ref: MFY7DM