Computer Vision Engineer

Placements24

East London

Hybrid

ZAR 900,000 - 1,200,000

Full time

5 days ago
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Benefits offered by this job

Competitive salary
Comprehensive benefits
Remote work flexibility
Career growth opportunities
Challenging projects in CV
Collaborative culture

Job summary

Placements24 in East London, South Africa, seeks a seasoned Computer Vision Engineer to design and implement advanced CV algorithms. You will develop models for classification, detection, segmentation, and tracking, and deploy them across platforms.

The ideal candidate holds a Master’s or PhD in a CV-focused field, with 3+ years of hands-on CV experience, and strong Python, OpenCV, TensorFlow, and PyTorch skills. Remote work is supported while collaborating with an innovative AI team.

Qualifications

  • Master's or Ph.D. in Computer Science, Electrical Engineering, or related field with focus on computer vision.
  • 3+ years hands-on experience in computer vision development.
  • Strong proficiency in Python and libraries (OpenCV, TensorFlow, PyTorch).
  • Deep understanding of deep learning architectures for vision tasks (CNNs, Transformers).
  • Experience with image and video processing techniques.

Responsibilities

  • Design, develop, and implement computer vision algorithms and models using deep learning techniques.
  • Build and train systems for image classification, object detection, segmentation, and tracking.
  • Process and analyze large image and video datasets to extract meaningful information.
  • Optimize computer vision models for real-time performance and deployment on various platforms.
  • Collaborate with cross-functional teams to integrate CV solutions into products and services.
  • Stay current with the latest research and advancements in CV.

Skills

Python
OpenCV
TensorFlow
PyTorch
CNNs
Transformers
Image processing
Video processing
3+ years experience

Education

Master's or Ph.D. in Computer Science or Electrical Engineering with CV focus

Job description

About the Role

Our client is seeking a talented and experienced Computer Vision Engineer to join their innovative AI team in East London . You will be responsible for developing and implementing advanced computer vision algorithms and systems for a variety of applications, including image analysis, object detection, and scene understanding. This role requires a strong background in machine learning, deep learning, and image processing, combined with practical experience in building and deploying vision-based solutions. The ideal candidate is passionate about pushing the boundaries of visual intelligence and contributing to cutting-edge AI projects.

Key Responsibilities
  • Design, develop, and implement computer vision algorithms and models using deep learning techniques.
  • Build and train systems for tasks such as image classification, object detection, segmentation, and tracking.
  • Process and analyze large image and video datasets to extract meaningful information.
  • Optimize computer vision models for real-time performance and deployment on various platforms.
  • Collaborate with cross‑functional teams to integrate computer vision solutions into products and services.
  • Stay current with the latest research and advancements in the field of computer vision.
Requirements
  • Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on computer vision.
  • 3+ years of hands‑on experience in computer vision development.
  • Strong proficiency in Python and relevant libraries (e.g., OpenCV, TensorFlow, PyTorch).
  • Deep understanding of deep learning architectures for vision tasks (CNNs, Transformers).
  • Experience with image and video processing techniques.
  • Proven ability to work on complex projects and deliver robust solutions.
Benefits
  • Competitive salary and comprehensive benefits package.
  • Opportunities for professional growth and continuous learning.
  • Remote work flexibility.
  • Work on exciting and challenging computer vision projects.
  • A collaborative and innovative work culture that values expertise.
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