AIoT Engineer for Facilities
Core
Design and implement enterprise-level AI model management processes for factory utility equipment maintenance to improve reliability and reduce energy consumption.
Role type
Senior IC AIoT Engineer (MLOps & Model Deployment)
Builds
Intelligent maintenance services for factory utility equipment
Domain
Manufacturing / Industrial IoT / Predictive Maintenance
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, FastAPI, Docker, MLOps, model service development, requirement analysis
Preferred skills
Cross-functional collaboration, technical documentation, knowledge sharing
Technologies
scikit-learn, PyTorch, TensorFlow, FastAPI, Docker
Responsibilities
Design and train machine learning/deep learning models; Develop model service APIs for real-time applications; Establish model management and deployment processes (MLOps); Collaborate with cross-functional teams to transform data science outcomes into practical services.
Seniority
Mid-Senior, hands-on IC
