Applied Artificial Intelligence Lead (Open for Vietnam and Canada)
JOB DESCRIPTION
JOB REQUIREMENT
WHAT'S ON OFFER
CONTACT
Job Summary
Company Type:
product company, music technology, music game
Technical Skills:
AI, Machine Learning
Location:
Ho Chi Minh - Viet Nam
Working Policy:
Salary:
Negotiation
Job ID:
J00886
Status:
Close
Related Job:
Senior Deep Learning Algorithms Engineer
Ho Chi Minh, Ha Noi - Viet Nam
Product
- Machine Learning
- Algorithm
Analyze and optimize deep learning training and inference workloads on advanced hardware and software platforms. Work with researchers and engineers to enhance workload performance. Develop high-quality software for deep learning platforms. Create automated tools for workload analysis and optimization.
Negotiation
View detailsProduct 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 detailsSenior Software Engineer, Machine Learning
Ho Chi Minh - Viet Nam
Product
- Machine Learning
Building and maintaining high-scale ML pipelines using big data technologies (Spark, BigQuery, Delta Lake), writing reliable, testable, and maintainable production-ready code. Leveraging modern ML platforms like Vertex AI or Databricks to orchestrate workflows and optimizing models for both batch/offline training and real-time/streaming inference with a focus on low latency. Gaining a deep understanding of specific domain challenges (e.g., fraud detection, location spoofing) to engineer better features and network-level intelligence that go beyond algorithms. Championing best practices in software engineering, including CI/CD, automated testing, code reviews, and documentation to ensure ML systems are built to software engineering standards, not just research scripts. Acting as a technical lead for projects, defining milestones and ensuring on-time delivery, mentoring Data Scientists on engineering best practices, and collaborating with other engineers to integrate models into the wider platform.