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CT GROUP

AI Engineer

Ho Chi Minh City, Vietnam
Calendar 04/03/2026
| Full-time
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Salary
Salary

25000000-30000000

Location
Work location

Ho Chi Minh City

date
Submission deadline

04/03/2026

target
Target number

1

MAIN RESPONSIBILITIES

Development & Optimization of AI Models
  • Design, train, evaluate, and improve Machine Learning / Deep Learning models for real-world problems.
  • Optimize models according to production criteria: accuracy, latency, scalability, operational costs.
  • Conduct controlled experiments, evaluate models using appropriate metrics, and ensure reproducibility.
Deployment & Operation of Models in Production
  • Deploy AI models into scalable systems, including:
    • REST/gRPC API services
    • Batch processing workflows
    • Real-time / near-real-time pipelines
  • Collaborate with Backend and Platform teams to integrate AI services into products in a stable and efficient manner.
MLOps & Model Lifecycle
  • Design, build, and operate end-to-end MLOps pipelines, including:
    • CI/CD for AI models
    • Version management for models and data
    • Automated retraining
    • Model monitoring (model/data drift, performance decay)
    • Rollback strategies and A/B testing
  • Ensure reliability and observability of models through logging, monitoring, and alerting.
Architecture & Cross-Team Collaboration
  • Participate in designing the architecture of AI systems and contribute to important technical decisions.
  • Work closely with:
    • Data Engineering: ensuring quality, consistency, and retrievability of input data
    • Backend/Platform: deploying AI services that are stable, secure, and easily scalable
    • Product/Business: understanding the problem and transforming requirements into suitable AI solutions
Technical Quality & Team Development
  • Conduct code reviews, design reviews, and establish best practices for AI development and model lifecycle management.
  • Mentor junior engineers, share knowledge, and contribute to enhancing the overall capabilities of the team.
  • Continuously update on advanced technologies, models, and AI trends; proactively assess their applicability to products and projects.

JOB REQUIREMENTS

  • Graduated with a Bachelor's or Master's degree in fields such as: Computer Science, Artificial Intelligence, Machine Learning, Data Science, or equivalent.
  • Minimum of 5+ years of experience in the AI/ML field, with experience deploying models in a production environment.
  • Experience in building and operating end-to-end AI solutions from research to deployment and monitoring.
  • Experience working in a cross-functional environment (Data Engineering, Backend, Product).
  • Proficient in Python and ML/DL frameworks such as PyTorch, TensorFlow.
  • Solid understanding of ML/DL algorithms, evaluation methods, and model optimization.
  • Experience deploying AI services at scale (API, batch, realtime).
  • Practical experience with MLOps: CI/CD, monitoring, model/data versioning.
  • Experience working with cloud platforms and containerization (Docker, Kubernetes).
  • Understanding of distributed systems, performance, and scalability is a plus.
  • Strong analytical and problem-solving skills, with a structured approach to tackling problems.
  • Clear communication skills, with the ability to present complex technical concepts in an understandable way.
  • Ability to work effectively in cross-departmental teams.
  • Strong ownership of work, high responsibility, and results-oriented mindset.
  • Ability to adapt quickly, growth mindset, and a continuous learning spirit in the rapidly changing field of AI.

BENEFITS & WELFARE

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