AI Digital Twin Engineer

Responsibilities:
Design and implement AI-driven digital twin models for various industries, including manufacturing, healthcare, and logistics.
Develop algorithms and simulations to replicate physical systems for predictive analysis and optimization.
Collaborate with cross-functional teams to integrate digital twin technologies into existing infrastructures.
Analyze real-time data to ensure digital twin models remain accurate and up-to-date.
Conduct performance evaluations and fine-tune models for enhanced decision-making and system management.

Requirements:
Experience with AI technologies and digital twin modeling tools (e.g., MATLAB, Simulink, AnyLogic).
Strong programming skills in Python, C++, or Java.
Solid understanding of simulation, IoT integration, and real-time data processing.
Experience with machine learning and optimization techniques for predictive modeling.
Bachelor’s or Master’s in Engineering, Computer Science, Data Science, or related field.