Computer Vision Engineer

2 weeks ago

Hanoi Capital Region, Vietnam SETA International Careers Full time ₫1,200,000 - ₫3,600,000 per year

What You'll Do

  • Design, develop, and optimize
    deep learning models

for vehicle damage detection, segmentation, and classification.
- Build
end-to-end pipelines

for image collection, preprocessing, labeling, augmentation, and evaluation.
- Experiment with
cutting-edge architectures

(CNNs, Vision Transformers, SAM, Diffusion Models, etc.) and benchmark their performance.
- Collaborate closely with
AI professors, data engineers, and MLOps experts

to bring models from research to production.
- Innovate with
synthetic data generation

,
Generative AI

, and
multimodal learning

to overcome real-world data challenges.
- Participate in
AI R&D initiatives

, publish findings, and contribute to the open-source community.

What You Bring

  • Bachelor's or higher in
    Computer Science, AI, Machine Learning, or related field

.
- 2+ years

of hands-on experience in Computer Vision, Deep Learning, or Machine Learning.
- Strong proficiency in
Python

,
PyTorch

,
TensorFlow

, and
OpenCV

.
- Understanding of
vision architectures

such as UNet, Mask R-CNN, DETR, SAM, or Vision Transformers.
- Experience working with
large, real-world image datasets

and scalable training pipelines.
- Passion for experimentation, continuous learning, and solving challenging real-world AI problems.

Bonus Points For

  • Experience in automotive, insurance, or industrial defect detection domains.
  • Familiarity with MLOps, model deployment, and monitoring.
  • Experience with synthetic data generation, 3D modeling, or Generative AI (Stable Diffusion, ControlNet, etc.).
  • Publications, Kaggle achievements, or open-source contributions.

Why You'll Love Working Here

  • Attractive compensation

and
performance-based bonuses

.
- Global exposure

— work directly with international AI researchers, engineers, and clients.
- Continuous learning culture

— participate in AI conferences, workshops, and internal R&D sessions.
- Impact at scale

— your work will be deployed to real insurers serving thousands of claims monthly.
- Flexible working hours, company trips, and a
modern office culture

with innovation at its core.
- Clear growth path toward
Senior AI Engineer / Research Scientist

or
AI Tech Lead

roles.

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