• Research, design, and test the implementation of algorithms and machine learning models to solve defined problems and requirements.
• Develop features according to project requirements.
• Implement, monitor, and troubleshoot system-related issues.
   

1. Knowledge Requirements

• Solid understanding of programming, data structures, algorithms, and graph theory.
• Knowledge of probability and statistics, linear algebra, and calculus.
• Knowledge of Exploratory Data Analysis (EDA) and data visualization.
• Knowledge of software development: version control, databases, APIs, programming principles, software design, and development.
• Knowledge of processing flows in ML/AI Ops pipelines.

2. Skill Requirements

• Proficiency in the Deep Learning framework PyTorch.
• Proficient programming skills in Python, SQL, and C#.
• Ability to analyze and evaluate algorithms and machine learning models.
• Problem-solving skills.
• Presentation skills (written and verbal) for issues, ideas, and solutions.
• Teamwork skills.

3. Experience 

• Experience with fundamental tasks such as object detection, classification, OCR, tracking, and counting.
• Experience with Inspection, Anomaly, and Measuring tasks is a plus.
• Experience working with Python libraries: NumPy, Matplotlib/Seaborn, Pandas, Scikit-learn, Jupyter Notebook, ETC.
• Experience in building architecture, developing, and deploying data analysis solutions is a plus.

• Quarterly and annual bonus schemes; gift allowances for holidays, Tet, and the Group's founding anniversary; annual vacation support… 
• Social insurance and health insurance according to Labor Law regulations.
• Work in a professional, creative, competitive, developing, and dynamic environment with many promotion opportunities.
• Opportunities for learning, researching, and working domestically and internationally.
• Opportunities to access many new technologies.
• Opportunities for promotion and personal development.