Senior AI Data Engineer
Quick Summary
Designing, building, and maintaining scalable data transformation, ingestion, and storage pipelines to support AI and machine learning applications.
Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field.
Our client is a leading provider of Cloud Computing, DevOps, and AI Solutions in Vietnam. As the AWS Partner of the Year for both 2023, 2024 and 2026, our client brings together a highly skilled team of cloud architects, AI/data engineers, and DevOps professionals. Our client specializes in helping enterprises modernize their workloads, accelerate cloud adoption, and embrace the next generation of AI and automation technologies.
About the Role
~1 min readResponsibilities
~1 min read- →Data Pipeline Development: Designing, building, and maintaining scalable data transformation, ingestion, and storage pipelines to support AI and machine learning applications.
- →AI Model Deployment: Collaborating with data scientists and AI engineers to deploy machine learning and AI models into production environments.
- →Infrastructure Automation: Automating AI infrastructure to streamline development workflows for data scientists and AI engineers.
- →Model Development & Integration: Assisting in building AI models from the ground up, transforming machine learning models into APIs, and integrating them with other systems for real-world applications.
- →Statistical Analysis: Conducting statistical analysis to interpret model results and inform business decisions.
- →AI Experimentation: Running experiments and tests for machine learning models and AI applications, ensuring optimal performance.
- →Collaboration: Partnering with cross-functional teams, including electronics and robotics departments, to integrate AI solutions effectively.
- →System Maintenance: Monitoring and retraining systems to ensure continuous improvement and alignment with evolving business goals.
- →Stakeholder Communication: Translating complex AI outcomes into actionable insights for business users and stakeholders.
Requirements
~1 min read- Educational Background: Bachelor's or Master's degree in Computer Science, Data Engineering, Artificial Intelligence, or a related field.
- Technical Expertise:
- Extensive experience in building data pipelines and deploying AI/ML models into production environments, particularly RAGs, generative AI and agentic platforms.
- Proficiency in programming languages such as Python, Java, C++, or R.
- Strong knowledge of statistics, calculus, and probability for algorithm development and model evaluation.
- Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Cloud Experience:
- Expertise in cloud services (e.g., AWS, Azure, or Google Cloud) with at least 2 years of experience in deploying AI models.
- Must hold a relevant cloud certification, such as AWS Certified Solutions Architect - Associate, AWS Certified Machine Learning Engineer - Associate, AWS Certified Generative AI Developer - Professional, or equivalent.
- AI Specializations:
- Familiarity with natural language processing, computer vision, and common AI model architectures, generative AI and agentic AI.
- Experience in transforming AI models into APIs for integration with other systems.
- Additional Skills:
- Solid understanding of data engineering practices, including ETL, feature engineering, and data preprocessing.
- Ability to work collaboratively in an agile and fast-paced environment.
- Strong problem-solving and communication skills.
- Demonstrated ability to run AI experiments and optimize performance through testing.
- Preferred Qualifications:
- Experience with robotics or electronics integration.
- A track record of contributing to end-to-end AI product development.
What We Offer
~1 min read- Work at the heart of cloud innovation and transformation across Vietnam and the region.
- Collaborate with world-class cloud engineers and business leaders.
- Join a young and dynamic team with awesome projects applying the latest technology.
- Working with specialists worldwide provides you with a fantastic opportunity to expand your skill set.
- Culture of openness and honesty in which individuals are respected and encouraged to achieve their full potential.
Location & Eligibility
About this job
- Posted
- 1 day ago
Listing Details
- Posted
- November 13, 2026
- First seen
- November 13, 2026
- Last seen
- November 13, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 60%
- Scored at
- November 13, 2026
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