Header Section
Viettel Enterprise Solutions General Company (VTS) is a subsidiary of Viettel Industrial - Telecommunications Group, established with the mission to accompany the Government in successfully building a "Creative Government – Digital Government", cooperating with enterprises and citizens to solve social problems and bring better lives to everyone. Viettel Enterprise Solutions General Company currently has a Research and Development Center that masters new technologies of the 4.0 industrial revolution (Big Data, AI, IoT, AR/VR, Cloud, Blockchain…) and provides solutions for smart cities and digital transformation for enterprises, government, and organizations with directions such as connectivity, sharing and customer experience
Brief Description
Perform business analysis, research and implement building models serving products and services applying AI.
-
Research, develop and deploy algorithms using Deep Learning, Machine Learning for Object Tracking, Object Recognition (Face, Ship, Vehicle…), OCR problems
- Analyze, evaluate, improve efficiency, accuracy, scalability and stability of Deep Learning network models
- Create impact, build and maintain large-scale data infrastructure for AI projects, and integrate with external IT infrastructure/services to provide end-to-end solutions
- Collaborate with Data Science Specialists to test and expand new algorithms through piloting and industrializing solutions at large scale
- Guide and train team members in deploying and improving deep learning networks for computer vision application problems
Scope of Work Responsibilities
Implement and build models
- Research, implement installation and deploy building models applying new AI algorithms
- Perform analysis cycles on business / data to clarify problems to be solved, data sources that can be leveraged to improve model efficiency, ways to integrate models and systems for input/output requirements from problem requirements
- Check and evaluate model performance and accuracy. Interpret model results for relevant personnel and customers in a visual, easy-to-understand manner.
- Evaluate results after impact, propose / implement model analysis / optimization methods.
Guide and train business operations
- Explain and guide algorithm ideas and model building methods for entry level.
Requirements
- Bachelor's degree or higher in Information Technology, Electronics Telecommunications, Computer Science, Applied Mathematics and Computer Science or other related Engineering specialties
- Minimum 5 years of experience working and deploying artificial intelligence application products at large scale.
- Strong foundation in Machine Learning (ML) algorithms, Neural Networks, Genetic Algorithms, Probabilistic Graphical Model (Bayesian Model, HMM,…)
- Proficient in one of the frameworks: TensorFlow, Keras, Pytorch
- Proficient in one of the languages: Python, C++, Java,...
- Experience deploying parallel algorithms using CUDA is an advantage
- Experience working with MicroServices projects, machine learning projects is an advantage.
- Ability to work independently and in teams, eager to learn, good discipline.
- Enthusiastic, proactive, creative in work, able to handle high work pressure.
- Ability to read and understand English documents. Priority given to those with TOEIC, TOEFL or IELTS certificates equivalent to TOEIC score of 650 or above.