AI Recommendation Developer (Go)

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: [protected info]
3+ years of experience
By submitting your application to [protected info], 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
Job Level
Middle/Senior
Work Form
Full-time
Email: [protected info]