Middle/ Senior Computer Vision Engineer
ANYWORK Co., Ltd

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Full time
Hiring 1 people
4 years of experience
Ha Noi
Published 06/07/2025

Why You’ll Love Working Here

D100% salary during 2-month probation
Full-salary insurance starting right from probation period
Oversea training opportunities

Working Address

Job Description

Job Description:

  • Develop/train/fine-tune deep learning models, image processing algorithms and systems for inspection equipment leveraging deep learning algorithm design, utilization and implementation-related knowledge and experiences.
  • Collaborate with cross-functional teams, including software engineers, and domain experts, to define project goals and requirements.
  • Stay up-to-date with the latest advancements in computer vision, LVM, and Generative AI research and technologies, and identify opportunities to apply them in practical applications.
  • Analyze and preprocess image data, apply feature engineering techniques, and conduct statistical analysis to extract meaningful insights.
  • Collaborate with software engineers to integrate computer vision solutions into production systems and ensure their scalability and maintainability.

Requirements:

Must have:

  • Bachelor’s, Master’s, or Ph.D. degree in Computer Science, electrical & electronic engineering, computer engineering, or relevant fields.
  • Strong experience in developing and implementing AI computer vision models, algorithms, and techniques, such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformer-based models (e.g., DERT, ViT).
  • Experience of machine vision/image processing-related algorithm development.
  • In-depth knowledge of computer vision technologies, with practical experience in training and fine-tuning AI models.
  • Hand-on experience in model deployment in server/edge devices.
  • Proficiency in programming languages commonly used in computer vision, such as Python, and experience with AI/computer vision libraries and frameworks (e.g., Opencv, Paddle, TensorFlow, PyTorch).
  • Strong problem-solving skills and the ability to think creatively to develop innovative solutions for image-related challenges.

Nice to have:

  • Experience with Generative AI technology and LVM models.
  • Experience with backend development


Interview: 1 – 2 rounds with Tech and Managerial teams

Skills

Good Problem Solving Skills

Benefits

  • 100% salary during 2-month probation
  • Full-salary insurance starting right from probation period
  • 15 month salary
  • Health check once per year
  • Accident insurance
  • 300$ for each employee per year for personal training
  • Oversea training opportunities
  • Numerous internal activities: team bonding, team training,…
  • Gifts for each employee on 30/4,1/5; 2/9;….(in cash)
  • Bonus for employee having foreign language certificates.
  • 5 working days per week to ensure work-life balance
  • Big discounts when purchasing company products
Company Info
ANYWORK Co., Ltd
Da Nang
1-50 employees
http://itworks.asia
Da Nang
1-50 employees
http://itworks.asia
IT/ Software
Staffing & Recruiting
Human Resources

About

Công ty TNHH AnyWork là đơn vị chuyên cung cấp giải pháp tư vấn và tuyển dụng nhân sự toàn diện, với thế mạnh vượt trội ở ba lĩnh vực chính: Công nghệ thông tin (IT), Du lịch – Nhà hàng – Khách sạn – Spa, và Nhà máy – Khu công nghiệp.


Chúng tôi vận hành 3 nền tảng tuyển dụng online chuyên biệt:


🔹 www.itworks.asia – Kết nối nhân lực ngành Công nghệ thông tin

🔹 www.hotelworks.com.vn – Tuyển dụng chuyên sâu cho ngành Du lịch – Khách sạn – Nhà hàng – Spa

🔹 www.vieclamnhamay.com.vn – Tập trung vào tuyển dụng lao động và nhân sự các cấp cho nhà máy, khu công nghiệp trên toàn quốc


Bên cạnh đó, AnyWork còn cung cấp dịch vụ headhunting linh hoạt – tuyển dụng nhân sự từ cấp chuyên viên đến cấp quản lý cao cấp – nhằm đáp ứng nhanh chóng và chính xác nhu cầu phát triển đội ngũ nhân sự của doanh nghiệp.


Sứ mệnh của chúng tôi là kết nối đúng người – đúng việc, tạo ra giá trị bền vững cho cả nhà tuyển dụng lẫn người tìm việc.


Working Address

164 Le Dinh Ly St.View map