Machine Learning Engineer

4 days ago

Hanoi, Hanoi, Vietnam FPT Software Full time $30,000 - $60,000 per year

Location
: Hanoi, VietNam

Project Type
: AI Engineering (Model Integration and Deployment)

Language Requirement
: Fluent English (spoken and written)

About the Role

We are seeking a
software-minded ML Engineer
to join our team of AI Engineers (AIEs) who are responsible for deploying, integrating, and wrapping ML models as scalable, production-ready solutions —
without developing or training models
.

The ideal candidate is a strong Python developer who treats ML models as black-box services, with a solid grasp of data workflows and a professional software engineering mindset.

Key Responsibilities

  • Wrap, deploy, and manage pre-built ML models using
    Python
    and
    Kubeflow
    .
  • Build data preprocessing and postprocessing pipelines to support ML inference.
  • Collaborate with Data Scientists, ML Ops, and Platform Engineers to ensure smooth integration and scalable solutions.
  • Write
    clean, maintainable, and scalable code
    adhering to software engineering best practices.
  • Think through edge cases, ensure robustness, and deliver sustainable solutions — not quick fixes.
  • Document processes and contribute to reusability and generalization of AI components.

Required Skills & Qualifications

  • Strong software engineering experience
    .
  • Proficiency in
    Python
    and common development practices (e.g., Clean Code, version control, unit testing).
  • Good understanding of
    ML/AI workflows
    and data lifecycle, especially around
    data preparation, preprocessing, and delivery
    .
  • Familiarity with containerization tools such as
    Docker
    .
  • Fluent English communication skills (written and verbal) —
    must
    .

Nice to Have (Learnable on the Job)

  • Experience with
    Kubeflow on Kubernetes
    for model orchestration.
  • Understanding of
    CI/CD pipelines
    (e.g., GitHub Actions).
  • Exposure to
    AWS cloud services
    for deployment or data handling.

This Role is NOT About

  • Designing or training ML models.
  • Research-focused or academic data science work.

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