.png)
MÔ TẢ CÔNG VIỆC
-
- Design and deploy full-stack recommendation engines and personalization logic
- Build semantic search and vector-based retrieval systems
- Develop experimentation frameworks and analyze A/B testing results
- Implement and maintain data pipelines and feature stores
- Ship scalable, low-latency ML services with continuous improvement
- Job details will be discussed during the interview.
- Timezone: 13h00 - 23h00
QUYỀN LỢI
-
- An attractive income level of up to 38,000,000 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
-
- Min 4 years of hands-on ML engineering experience
- Strong Python skills and solid ML foundations (math, modeling, algorithms)
- Experience building and deploying production-grade recommendation or search systems
- Proficient with TensorFlow or PyTorch
- English B1+
- Hands-on experience with embeddings and vector search (FAISS, Weaviate, Pinecone, etc.)
- Strong SQL skills and experience with batch and streaming data pipelines
- Experience designing and maintaining event tracking frameworks and feature stores
- Familiarity with building ML microservices and low-latency inference systems
- Experience with experimentation frameworks, A/B testing, and metric evaluation
Hỗ trợ khách hàng
Hỗ trợ ứng viên
