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Senior Data Science/Machine Learning (Remote)

Remote

MÔ TẢ CÔNG VIỆC

    - Design, develop, and maintain backend systems using Java/Spring Boot for large-scale international projects.
    - Build and optimize microservices architecture, ensuring high performance, scalability, and security.
    - Collaborate with cross-functional teams (PM, BA, Frontend, DevOps, ML engineers) in English-speaking environments.
    - Integrate third-party services, APIs, and ML-related components into backend systems.
    - Participate in code reviews, system design discussions, and technical improvements.

QUYỀN LỢI

    - Salary is negotiable.
    - 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

    - 3-5 of experience in Data Science or Machine Learning roles.
    - Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn, or similar).
    - Experience working on AI-related projects (LLM integration, ML models, AI automation workflows).
    - Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.
    - Experience with SQL/NoSQL databases and large datasets.
    - Familiarity with Docker, CI/CD pipelines, and cloud platforms (AWS/GCP/Azure) is a plus.
    - Experience deploying ML models into production environments.
    - Good English communication skills (able to work with international stakeholders).
    - Comfortable working on an NSFW (18+) project.

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