Technical Leader (NodeJS)
JOB DESCRIPTION
JOB REQUIREMENT
WHAT'S ON OFFER
CONTACT
Job Summary
Company Type:
Product
Technical Skills:
NodeJS, Data Engineering
Location:
Ho Chi Minh - Viet Nam
Working Policy:
Salary:
Negotiation
Job ID:
J01011
Status:
Close
Related Job:
Product Manager (Data & Models)
Ho Chi Minh - Viet Nam
Product
- Product Management
- AI
Designing data strategy and model integration for creating efficient data pipelines, evaluation frameworks, and annotation systems to maintain high-performance LLMs. Responsible for ensuring data quality standards and implementing bias mitigation and privacy-preserving techniques. Defining the product's core model roadmaps, taking into account technical feasibility, user needs, and ethical considerations. Collaboration with researchers to incorporate experimental breakthroughs into deployable features. Partnering with Engineering and Research teams to ensure model development aligns with product goals and advocating for transparency in model decision-making to build user trust. Analyzing usage patterns from open-source communities (Discord, Reddit, GitHub) to refine model behavior and address real-world edge cases, contributing to community-driven model evolution. Setting performance benchmarks, cost efficiency, and resource utilization standards for model scalability and reliability.
Negotiation
View detailsSoftware Architect
Others - Viet Nam
Outsource
- NodeJS
Lead the development of scalable full-stack applications. Optimize database schemas and queries for secure, high-performance systems with strong data integrity. Make key architectural decisions that balance scalability, performance, maintainability, and developer experience while mentoring engineers. Implement DevOps into the development lifecycle by managing CI/CD pipelines and overseeing infrastructure-as-code. Plan, design, and implement cloud infrastructure using cloud services to ensure system availability, scalability, and cost efficiency. Collaborate with cross-functional teams to define system architecture and align on technical direction to support product goals and timelines. Continuously explore, assess, and adopt modern tools, frameworks, and best practices to boost engineering productivity, code quality, and system resilience.
Negotiation
View detailsSenior Data Analyst, Anti-spoofing Operation
Ho Chi Minh - Viet Nam
Product
- Data Analyst
- Data Engineering
Lead and develop analytical initiatives to address fraud detection challenges, from problem definition through implementation, monitoring, and continuous optimization. Spearhead strategic efforts to combat emerging fraud patterns and develop innovative detection approaches through data analysis, testing, and impact measurement. Design and implement production-grade data pipelines, automated workflows, and advanced analytical frameworks using statistical methods, machine learning, and geospatial analysis. Conduct in-depth analyses of complex fraud operations and develop behavioral analytics systems. Translate technical findings into actionable recommendations for leadership, product teams, and engineering. Lead compliance analytics initiatives and define evaluation metrics for new features. Provide technical guidance and mentorship, establish best practices, and contribute to hiring top talent in analytics.