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MÔ TẢ CÔNG VIỆC
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- Collect, clean, and preprocess structured and unstructured data
- Perform exploratory data analysis (EDA) to identify patterns and insights
- Build, train, and optimize Machine Learning models for prediction, classification, or recommendation systems
- Deploy ML models into production environments and monitor performance
- Work with large datasets using SQL and Python
- Collaborate with Product Owners and business teams to translate requirements into data-driven solutions
- Create dashboards and visualizations to communicate insights clearly
Continuously improve model performance, scalability, and reliability
QUYỀN LỢI
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- An attractive income level of up to 30,000,000 VNĐ.
- Connection bonus: 1~10 million bonus for anyone who introduces friends and acquaintances to the company.
- Working with large and advanced systems, have the opportunity to develop comprehensive technical skills with complex problems, requiring high accuracy.
- Become one of the influential KeyPerson in the project, high chance to become Leader, Project Manager.
- Participating in personnel engagement activities: Weekend Online Game prizes (Half-Life, AOE, Dota2, LOL, Pubg...), Team Building by week, by month, by project.
- Opportunity for advancement based on ability with corresponding increase in rank and salary increase.
- Opportunity to implement ambitious projects in many countries, exposure to the latest technologies and learn from good colleagues.
- Participate in skills training courses: AWS, Microservices, foreign languages (English, Japanese)...
YÊU CẦU
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- 3–4 years of experience in Data Science or Machine Learning
- Strong proficiency in Python (Pandas, NumPy, Scikit-learn, etc.)
- Solid understanding of ML algorithms (Regression, Classification, Clustering, Tree-based models, etc.)
- Experience working with SQL and relational databases
- Experience with ML frameworks (e.g., TensorFlow, PyTorch – basic to intermediate level)
- Familiarity with model deployment (REST API, Docker, or cloud platforms such as AWS/GCP/Azure is a plus)
- Good knowledge of statistics and probability
- Strong analytical thinking and problem-solving skills
- Good English communication skills (verbal & written)
Hỗ trợ khách hàng
Hỗ trợ ứng viên
