Job Description
We are looking for an experienced AI Recommendation Developer with expertise in building Recommendation Systems to join our team in developing and optimizing a Retail/E-commerce (Wholesale) platform. You will work with data processing systems, personalization models, and backend services to enhance the customer shopping experience and drive business growth.
Key Responsibilities
- Design, develop, and maintain backend services for recommendation and personalization systems using Go.
- Build and optimize product recommendation algorithms based on user behavior and product data.
- Develop and integrate data processing pipelines for model training, deployment, and operation.
- Integrate systems with Kafka or similar event-streaming platforms.
- Work with Redis, DynamoDB, or other low-latency storage solutions to optimize data access performance.
- Collaborate with cross-functional team members to analyze requirements, design solutions, and implement new features.
- Monitor system performance, optimize scalability, and ensure the reliability of the platform.
Requirements
- At least 3 years of experience in Backend development using Go.
- Hands-on experience in building Recommendation/Personalization Systems, leveraging one or more of the following approaches: Collaborative Filtering (ALS or equivalent), Item-to-Item Similarity, Content-Based Recommendation
- Experience working with Redis, DynamoDB, or other low-latency data storage systems.
- Experience building batch data pipelines or ETL workflows using one or more of the following technologies: Amazon S3, AWS Glue, Amazon Athena, Apache Spark Or equivalent platforms
- Experience integrating with Kafka or similar event-streaming platforms.
- Strong analytical and problem-solving skills, with the ability to work effectively in a collaborative team environment.
Nice to Have
- Experience with Embedding-Based Retrieval, Vector Databases, k-NN (k-Nearest Neighbors), or ML Model Serving platforms (AWS Bedrock or equivalent).
- Experience designing and implementing A/B Testing, Control/Holdout Groups, or other decision attribution and evaluation frameworks.
- Experience developing personalization, ranking, or Next Best Action systems within the E-commerce domain.
- Experience participating in System Integration (SI) projects with tight delivery timelines and the ability to meet project milestones efficiently.
Project Information
- Domain: Retail / E-commerce (Wholesale)
Benefits
- Competitive Compensation Package: Includes a base salary, KPI-based bonuses, project incentives, and an additional benefits package valued at VND 16 million per year.
- Dynamic and Collaborative Work Environment: Join a young, innovative team with abundant opportunities for learning, professional growth, and career advancement.
- Exposure to Cutting-Edge Technologies: Stay up to date with the latest technology trends and contribute to large-scale, modern projects.
- Vibrant Culture and Team Activities: Participate in various sports and cultural activities, including football clubs, Family Day events, company celebrations, and employee engagement programs.
- Comprehensive Employee Benefits: Enjoy full benefits in accordance with Vietnamese Labor Law, along with attractive company-sponsored programs such as annual company trips, holiday and festival gifts, periodic health checkups, and other employee welfare initiatives.
How To Apply
Please send your application via email: [Confidential Information]
3+ years of experience
- By submitting your application to [HIDDEN TEXT], you acknowledge that you have read, understood, and agreed to CMC Global's REGULATIONS ON THE PROTECTION OF CANDIDATES PERSONAL INFORMATION.
- Years of Experience Required
- Required Education Level
Bachelor's Degree
Middle/Senior
Full-time
