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MÔ TẢ CÔNG VIỆC
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- Build and deploy machine learning models for real-world applications.
- Collaborate with product and data teams to understand requirements and define solutions.
- Design data pipelines, train and evaluate models using Python and ML libraries.
- Optimize model performance and integrate into production environments.
- Job details will be discussed during the interview.
QUYỀN LỢI
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- An attractive income level of up to 35,000,000 VNĐ.
- Bonus: 1~10 million anyone for referring acquaintances and friends to the company.
- Working in a large and modern system, having the opportunity to enhance comprehensive technical skills.
- Become a Key Person of Project Influence, a Leader as well as a Project Manager.
- Participate in staff engagement activities such as Game Online (Half-Life, AOE, Dota2, LOL, Pubg...), Team Building,
- Having many opportunities to promote based on personal ability and range of salary.
- Accessing to various projects and the latest technology.
- Taking part in many courses such as AWS, Microservice, English, Japanese...
YÊU CẦU
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5+ years of experience in ML engineering, MLOps, or similar role
Strong proficiency in Python and common ML libraries (e.g., scikit-learn, XGBoost, PyTorch, or TensorFlow)
Experience with containerization tools (e.g., Docker) and reproducible workflows
Familiarity with CI/CD for ML, automated model retraining, and model versioning tools (e.g., MLflow, DVC, or similar)
Working knowledge of Linux environments and cloud platforms.
Working knowledge in ML engineering with GCP ecosystem.
Experience in building and deploying ML models in production settings
Strong debugging and problem-solving skills in data workflows and model deployment
Ability to design and configure new cloud-based ML infrastructures in Google Cloud Platform (GCP), such as:
Provisioning GCE instances and defining training environments
Managing secure SFTP connections, storage access, and environment setup
Supporting the data science team with scalable compute resources
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