Digital Twin Engineer

Role Overview:

The Digital Twin Engineer at GlobenovaAI will be responsible for creating and deploying digital twin models thatsimulate real-world systems, enabling enhanced operational efficiency anddecision-making. This role involves integrating IoT sensors and large datasets, applying machine learning and AI for predictive insights, and leveragingcloud infrastructure for scalable solutions. The engineer will ensure theaccuracy, security, and scalability of these models, tailored for applicationsin defence , intelligence, and other sectors, providing innovative solutions tocomplex challenges.

Responsibilities:

●    Design, develop, and deploydigital twin models for real-time simulation and optimization.

●    Integrate IoT sensors anddevices to collect data for creating dynamic, accurate digital representationsof physical systems.

●    Apply machine learning and AItechniques to enhance predictive capabilities and system optimization.

●    Work with cloud platforms tomanage large-scale data and ensure the scalability of digital twin models.

●    Ensure data security and integritythroughout the lifecycle of digital twin systems.

●    Collaborate with industryexperts to tailor digital twins to specific defence  or manufacturing domains.

Requirements:

●    Bachelor's or Master's degreein Computer Science, Engineering, or related field.

●    5+ years of experiencedesigning and implementing digital twin systems.

●    Strong programming skills inPython, Java, or C++.

●    Expertise in IoT systems, cloudcomputing, and big data technologies.

●    Proficient in machine learningframeworks and algorithms.

●    Experience withindustry-specific systems (defence , manufacturing, etc.).

●    Knowledge of cybersecurity bestpractices for system and data protection.

●    Security clearance andsuccessful completion of background checks may be required.