Deep Learning Engineer
Job Description:
We are seeking a highly skilled Deep Learning Engineer with expertise in AI, Machine Learning (ML), and Digital Twin technologies to join our dynamic team. The ideal candidate will play a pivotal role in developing intelligent models and simulations that drive our digital twin solutions for industrial, manufacturing, and infrastructure projects.
Key Responsibilities:
Deep Learning Model Development: Design and implement deep learning models to enhance digital twin applications, enabling predictive analytics, real-time simulations, and intelligent automation.
AI & ML Integration: Develop and deploy machine learning algorithms for anomaly detection, predictive maintenance, and system optimization within digital twin environments.
Data Analysis & Processing: Work with large datasets, apply data preprocessing techniques, and extract actionable insights to improve digital twin accuracy and performance.
Simulation & Digital Twin Enhancement: Create robust digital replicas of physical systems using sensor data, IoT inputs, and historical data for smart factory and infrastructure projects.
Collaboration: Partner with cross-functional teams including data scientists, software developers, and domain experts to integrate deep learning models seamlessly into digital twin platforms.
Research & Innovation: Stay updated on the latest advancements in AI, ML, and deep learning, applying innovative techniques to enhance digital twin capabilities.
Documentation & Reporting: Maintain comprehensive documentation of model development, experiment results, and technical specifications.