Apply At Sonat

1. BENEFITS

COMPENSATION & DEVELOPMENT OPPORTUNITIES

• Salary: 7 – 12 million VND/month, lunch allowance of 1 million VND/month for official employees.
• Opportunity to become an official employee after 2–4 months based on performance.
• Expand and enhance knowledge and technical skills in AI/ML.
• Hands-on experience with real-world global projects.
• Clear, personalized career development path guided by an AI Expert, PhD in AI, currently working at one of the world’s leading technology corporations in the US.

WORKING ENVIRONMENT

• Dynamic, professional work culture.
• Full welfare policies for daily life and employee well-being.

WELFARE POLICIES

• Bonuses on holidays and Tet.

WORKING HOURS

• Monday – Friday (closed on Saturday & Sunday)
• Morning: 8:30 – 12:00 | Afternoon: 13:00 – 18:00 | Tea-break: 15:00 – 15:30.

2. RESPONSIBILITIES

At Sonat Game, we believe that data and technology are the foundations for scaling products and ensuring sustainable growth.
As an AI Engineer in the Business Intelligence department, you will be directly mentored by an expert, PhD in AI, currently working at a leading global technology company. You will have the opportunity to learn, experiment, and implement AI/ML models serving the company’s business objectives.

Main responsibilities:

• Develop and test machine learning and deep learning models for operations, user behavior analysis, content classification, trend prediction, etc.
• Assist with data cleaning, analysis, and visualization.
• Conduct experiments on AI algorithms using real-world datasets.
• Write technical documentation and model result reports.
• Continuously learn and apply new AI knowledge into internal projects.

3. REQUIREMENTS

Knowledge

• Graduated or final-year student in Artificial Intelligence, Computer Science, Software Engineering, Applied Math, Information Technology, or related fields.
• Solid understanding of probability and statistics, linear algebra, calculus, optimization.
• Basic knowledge of data analysis, preprocessing, and visualization.

Skills

• Familiar with basic models: Linear/Logistic Regression, Decision Trees, KNN, SVM.
• Experience with frameworks such as Scikit-learn, TensorFlow, or PyTorch for simple model training.
• Proficient in using libraries like Numpy, Pandas, Matplotlib.
• Completed at least 1–2 personal projects or major coursework in AI/ML (e.g., handwritten digit recognition, sentiment analysis, simple chatbot, etc.).
• Bonus: Basic experience with MLOps tools such as Docker, MLflow, FastAPI, Streamlit.
• Comfortable using Google Colab, VSCode, Jupyter Notebook.
• Background in Math or Computer Science competitions is a plus.

Attitude

• Eager to learn and adapt to new technologies and research/development environments.
• Careful, responsible with data and systems.
• Proactive in identifying issues and proposing improvements.
• Able to work effectively in a fast-paced environment.
• Long-term commitment and passion for advancing in the data field.

4. CONTACT

​​​Talent Acquisition team: 037 442 7589

Email: tuyendung@sonat.vn