Middle AI Engineer at SmartDev

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Implement computer-vision models and production pipelines for image and video applications. Requires at least three years in computer vision or deep learning, Python and practical PyTorch or TensorFlow experience.

SmartDev

Search jobs by company: SmartDev

Location: Hanoi · On-site
Work arrangement: onsite
Technologies: AI, Python, PyTorch, TensorFlow

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Role overview

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We are hiring a Computer Vision AI Engineer to join our applied AI team focused on building and deploying vision-based AI solutions for real-world applications. You will be responsible for implementing computer vision models and pipelines under the guidance of tech leads, contributing to commercial AI projects involving image/video analysis, object detection, and visual understanding systems.

Location: Hanoi office 5th Floor, Zodiac Building, 19 Duy Tan, Dich Vong Hau, Cau Giay, Hanoi.

"},"jobDescription":{"title":"Job Description","text":"

Responsibilities

Follow and Build computer vision solutions as defined by technical leadership.
Develop and optimize deep learning models for image and video processing tasks such as object detection, classification, segmentation, and tracking.
Build data pipelines and training workflows for computer vision models.
Integrate computer vision models into production environments and backend services.
Monitor model performance, accuracy, and system reliability in production.
Contribute to client-facing commercial AI projects and collaborate effectively with cross-functional teams.

Qualifications

Preferred Qualifications.
Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
3+ years of experience in Computer Vision or Deep Learning.
Strong proficiency in Python.
Practical experience in PyTorch, TensorFlow, or similar deep learning frameworks.
Solid understanding of computer vision techniques and deep learning architectures (CNNs, Transformers for vision).
experience in image processing, model training, evaluation, and deployment.
Exposure to OpenCV or similar computer vision libraries.
A good team player and problem solver.
Strong command of English (verbal and written).
experience in advanced vision models (e.g., YOLO, Detectron2, Segment Anything...).
experience in model optimization, inference acceleration, and edge deployment.
Backend development skills including: FastAPI, Docker, Git, AWS.

Technology in this role

AI: {"uuid":"b6742cd8-abd0-4f51-b7a9-1f312bd83d63","applyUrl":"https://jobs.smartrecruiters.com/SmartDev1/744000121381007-middle-ai-engineer","jobAdLanguageCode":"en","jobTitle":"Middle AI .
Python: • Strong proficiency in .
PyTorch: Practical experience in PyTorch, TensorFlow, or similar deep learning .
TensorFlow: Practical experience in PyTorch, TensorFlow, or similar deep learning .
C: Duy Tân, Dịch Vọng Hậu, Cầu Giấy, Hà Nội, Vietnam","employmentType":"Full-time","jobFields":[],"content":{"sections":{"companyDescription":{"title":"Company Description","text":" AI lab is a service provider of AI-driven products and solutions for various .
AWS: Backend development skills including: FastAPI, Docker, Git, .
Docker: Backend development skills including: FastAPI, Docker, Git, .
Git: Backend development skills including: FastAPI, Docker, Git, .
FastAPI: Backend development skills including: FastAPI, Docker, Git, .

Role-specific candidate guide

Preparation notes based on the employer’s stated responsibilities and qualifications.

Understanding the scope. This Middle AI Engineer position at SmartDev is best assessed through the work described in the employer’s posting, rather than the title alone. The available role overview says: “{"uuid":"b6742cd8-abd0-4f51-b7a9-1f312bd83d63","applyUrl":"https://jobs.smartrecruiters.com/SmartDev1/744000121381007-middle-ai-engineer","jobAdLanguageCode":"en","jobTitle":"Middle AI Engineer","jobAdLocation":"Ng. 19…” Read that statement together with the responsibilities below to understand the likely balance between delivery, coordination and technical decision-making. The role belongs to the AI and data area, but that label is only a guide to the work; the employer’s own requirements remain decisive. Before applying, check the original listing for reporting lines, product or team assignment, employment terms and any details that may have changed since this copy was checked. Where this page says a fact is not specified, treat it as an open question rather than an implied promise.

What the responsibilities signal. The posting specifically names “Follow and Build computer vision solutions as defined by technical leadership.”; “Develop and optimize deep learning models for image and video processing tasks such as object detection, classification, segmentation, and tracking.”; “Build data pipelines and training workflows for computer vision models.”. For each duty, identify a project where you performed comparable work and be ready to describe the context, your own contribution, constraints, decisions, and measurable result. Explain how you moved from the initial need to implementation, review, release or operational follow-through, where those stages apply. If the work involved other teams or users, distinguish your decisions from the group’s contribution. Avoid presenting a technology keyword as proof by itself: connect it to the problem you solved, the scale or complexity involved, and what changed after your work. The source may contain additional duties; review it directly before preparing your application.

How to read the requirements. The listed qualifications include “Preferred Qualifications.”; “Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.”; “3+ years of experience in Computer Vision or Deep Learning.”. Mark each requirement as demonstrated, adjacent experience or a genuine gap, then use a concise example for the first two categories. A strong example explains what you personally owned, how you made trade-offs, how you validated the result and what you learned. If the posting specifies years.

Benefits

International working environment with AI-driven strategic direction.
20 days of annual leave – Hybrid working mode.
Premium healthcare package with PVI and comprehensive annual health check-ups.
Competitive salary & 13th salary bonus.
Lunch allowance to fuel your productivity.
Engaging company culture with fun activities.
Global collaboration – Work with both Vietnamese and international colleagues.

About SmartDev

SmartDev develops software and digital products for business clients, including AI applications.

Employer website

How to apply

Check the original posting to confirm the role is still open before applying.

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Source checked: 2026-09-22

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