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Data Scientist / ML Engineer (Remote)

Remote

MÔ TẢ CÔNG VIỆC

    - Analyze large and complex datasets to generate insights and support data-driven decisions.
    - Build, train, and optimize ML models for use cases such as search, recommendation systems, ads, and anti-fraud.
    - Perform data preprocessing, feature engineering, and model evaluation.
    - Deploy, monitor, and improve ML models in production environments.
    - Collaborate with cross-functional teams to turn business needs into ML solutions.
    - (Nice to have) Work on LLM-related applications using models like GPT/LLaMA and frameworks such as LangChain.

QUYỀN LỢI

    - Attractive income level of upto 33,000,000 VND.
    - 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+ years in at least one of the following areas: search, recommendation systems, ads, content understanding/moderation, or anti-fraud.
    - Solid experiences in Python and related Data Analysis libraries (e.g., pandas, numpy, matplotlib, scikit-learn).
    - Proficient in at least one Deep Learning framework (e.g., TensorFlow, PyTorch, Keras, Theano).
    - Familiarity with Big Data tools such as Ray, Hive SQL, Spark, or MapReduce.
    - Strong understanding of the software development lifecycle and low-level code optimization.
    - Solid theoretical foundation in commonly used algorithms and strong statistical intuition.
    - Excellent communication and collaboration skills; ability to explore new technologies with the team and drive technical innovation.
    - Highly curious, self-motivated, and eager to take on challenges and strive for excellence.

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