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Are you a dedicated AI and Applied Educational researcher with a passion for digital transformation, high-performance systems, and safety integration? Join our team to contribute to the development of smart education and warehouse systems.

Key Requirements:

We are seeking individuals with expertise in the following areas:

Data Warehouse Engineering: Proficiency in designing and managing data warehouse systems.

Data Visualization and Analysis: Strong skills in data visualization, analysis, and a solid foundation in mathematical concepts for data analysis.

Education Processing and E-Learning: An advanced understanding of educational processing and e-learning methodologies.

Tools Management and Software Development: Ability to work extensively with tools and software development.

Machine Learning and Optimization: Proficiency in machine learning, optimization techniques, and statistics.

Speech and Natural Language Processing: Experience in developing speech and natural language processing applications, including chatbots.

Computer Vision and Image Processing: Application of computer vision and image processing to educational processes.

AI Planning and Scheduling: Logical reasoning using education process systems for AI planning and scheduling.

Knowledge-Based Representation and Reasoning: Application of knowledge-based representation and reasoning in the educational process.

Autonomous Systems and Robotics: Knowledge of autonomous systems and robotics with a focus on educational applications.

Human-Robot Collaboration: Experience in human-robot collaboration within educational contexts.

Safety and Security in Education Systems: Understanding and implementation of safety and security measures in educational systems.

Big Data, Edge Computing, High-Performance, and Cloud Systems: Proficiency in working with big data, edge computing, high-performance systems, and cloud computing, including blockchain.

Digital Twin Processing and Reality Visualization: Knowledge of digital twin processing and reality visualization.

Programming Languages:

Proficiency in one or more of the following programming languages: Python, C++, Java, JavaScript, C#, MATLAB, etc.

Hands-On Implementation:

Experience in testing, debugging, and integration of AI and education systems.

Preferred Qualifications:

New graduate students and highly motivated individuals will be given priority.

Work Locations:

Ho Chi Minh City (HCM)
Hanoi (HaNoi)
Da Nang (DaNang)
Can Tho (Cantho)
Dak Lak (DAKLAK)
Khanh Hoa (KhanhHoa)
Work From Home (WorkFromHome)
Remote (Remote)
Hybrid (Hybrid)
Keywords:

[#AI] [#MachineLearning] [#Education] [#ELearning] [#Chatbot] [#HumanComputerInteraction] [#Cloud] [#BigData] [#DataCenter] [#VoiceRecognition]

If you possess the expertise and enthusiasm to excel in the AI Education Engineer role, we encourage you to apply and become a key contributor to our cutting-edge projects in digital education and smart systems. Join us on our journey of innovation and growth.

[#HCM] [#Hanoi] [#KhanhHoa] [#DaNang] [#CanTho] [#DakLak] [#BinhDuong] [#QuangNgai] [#Remote] [#Hybrid]