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MÔ TẢ CÔNG VIỆC
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- Design, develop, and deploy customized recommendation models for our products.
- Work on projects in search, recommendation systems, ads, content understanding/moderation, or anti-fraud.
- Analyze large-scale datasets and extract actionable insights using Python and related data analysis libraries.
- Implement and fine-tune deep learning models using frameworks such as TensorFlow, PyTorch, Keras, or Theano.
- Utilize Big Data tools (e.g., Ray, Hive SQL, Spark, MapReduce) for data processing and model training.
- Optimize low-level code and ensure high-performance and scalable solutions.
- Collaborate with cross-functional teams to integrate machine learning solutions into production.
- Further details about the role and responsibilities 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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- Experience in building customized recommendation models and a strong interest in product-focused machine learning development.
- 3-5 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.
- Good English Communication.
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