AI ENGINEER - AIS
- Thỏa thuận
- Toàn thời gian
Hạn nộp hồ sơ: 27/10/2026 (Còn 47 ngày)
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AI Engineer - AIS
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ai engineer ais
AI Engineer - AIS
Summary
POSITION OVERVIEW The Data Scientist role focuses on building propensity models and sizing market opportunities for VMO project with banking clients. This hybrid position requires a blend of data science and engineering skills to create production-grade pipelines. The role is pivotal in driving sales strategy through data-driven outputs. Candidates should have a strong background in Python and SQL, along with proven experience in propensity modeling.
Propensity Modeling & Ranking
Predict CTR and engagement probability
Use models like XGBoost / LightGBM
Optimize ranking using NDCG, MRR, Precision@K
Feature Engineering
Build features from user behavior, interaction signals, and context
Handle sparse and noisy data
Cold Start Handling
Design strategies for new users and new offers
Implement hybrid and fallback approaches
Bias Handling
Mitigate popularity and exposure bias
Implement diversity and re-ranking strategies
Model Evaluation
Define and track CTR, conversion, NDCG, AUC
Continuously improve engagement metrics
Scalability & Deployment
Build systems for millions of users
Enable real-time or near real-time inference
Job Requirements
Key Skills
Strong Python - the existing model suite is Python-heavy
Advanced SQL large complex datasets
Proven propensity modelling experience - built and delivered, not just theoretical
Genuine hybrid capability - data science and data engineering
Confident communicator with non-technical stakeholders
Hands-on with XGBoost, LightGBM
Nice to Have
Experience with MLOps and model deployment
Experience with AWS SageMaker
A/B testing and experimentation knowledge
Benefits
OPPORTUNITIES AND CHALLENGES
Opportunity to work in a professional, modern and energizing setting.
Challenging projects, possibilities, cutting-edge technology, and problems.
An open and dynamic working atmosphere that promotes the interchange of ideas, while also empowering you to work and create in your own style. Each employee's talent and accomplishments are valued, and outstanding employees are recognized and rewarded on a yearly basis.
Opportunities for capacity development, as well as assistance with professional certification expenses, are available to those who work in the field (1 million - 5 million).
Some advanced certifications will cover the full cost of studying and taking the exam.
Attractive Rewarding Policy And Work-life Balance
Review salary 1-2 times/year, with the possibility of an unexpected salary rise based on capacity an infinite number of times per year
Policy for 13th-Month Salary Bonus and Holiday Bonuses According to Company Regulations.
Holiday travel mode (package 5-7 million/person), team building,...
Full participation in social insurance, as well as a yearly health checkup at a reputable hospital.
INFORMATION
10th Floor, IDMC Tower, 18 Ton That Thuyet St., Cau Giay Ward, Hanoi
[protected info]
Negotiation
Home
|
recruitment
|
ai engineer ais
AI Engineer - AIS
Summary
POSITION OVERVIEW The Data Scientist role focuses on building propensity models and sizing market opportunities for VMO project with banking clients. This hybrid position requires a blend of data science and engineering skills to create production-grade pipelines. The role is pivotal in driving sales strategy through data-driven outputs. Candidates should have a strong background in Python and SQL, along with proven experience in propensity modeling.
Propensity Modeling & Ranking
Predict CTR and engagement probability
Use models like XGBoost / LightGBM
Optimize ranking using NDCG, MRR, Precision@K
Feature Engineering
Build features from user behavior, interaction signals, and context
Handle sparse and noisy data
Cold Start Handling
Design strategies for new users and new offers
Implement hybrid and fallback approaches
Bias Handling
Mitigate popularity and exposure bias
Implement diversity and re-ranking strategies
Model Evaluation
Define and track CTR, conversion, NDCG, AUC
Continuously improve engagement metrics
Scalability & Deployment
Build systems for millions of users
Enable real-time or near real-time inference
Job Requirements
Key Skills
Strong Python - the existing model suite is Python-heavy
Advanced SQL large complex datasets
Proven propensity modelling experience - built and delivered, not just theoretical
Genuine hybrid capability - data science and data engineering
Confident communicator with non-technical stakeholders
Hands-on with XGBoost, LightGBM
Nice to Have
Experience with MLOps and model deployment
Experience with AWS SageMaker
A/B testing and experimentation knowledge
Benefits
OPPORTUNITIES AND CHALLENGES
Opportunity to work in a professional, modern and energizing setting.
Challenging projects, possibilities, cutting-edge technology, and problems.
An open and dynamic working atmosphere that promotes the interchange of ideas, while also empowering you to work and create in your own style. Each employee's talent and accomplishments are valued, and outstanding employees are recognized and rewarded on a yearly basis.
Opportunities for capacity development, as well as assistance with professional certification expenses, are available to those who work in the field (1 million - 5 million).
Some advanced certifications will cover the full cost of studying and taking the exam.
Attractive Rewarding Policy And Work-life Balance
Review salary 1-2 times/year, with the possibility of an unexpected salary rise based on capacity an infinite number of times per year
Policy for 13th-Month Salary Bonus and Holiday Bonuses According to Company Regulations.
Holiday travel mode (package 5-7 million/person), team building,...
Full participation in social insurance, as well as a yearly health checkup at a reputable hospital.
INFORMATION
10th Floor, IDMC Tower, 18 Ton That Thuyet St., Cau Giay Ward, Hanoi
[protected info]
Negotiation
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