Computer Vision Engineer: Object Detection & Tracking

Placements24; Richards Bay; Vor Ort; ZAR 700.000 - 1.100.000; Vollzeit

Benefits dieser Stelle

Competitive rate

Cutting‑edge projects

Wide CV applications

Professional development

Collaborative team

Zusammenfassung

Placements24 in Richards Bay, KwaZulu-Natal is seeking a Computer Vision Engineer to develop and deploy CV solutions. You will work on object detection, tracking, and recognition, leveraging TensorFlow and PyTorch across edge and cloud platforms, with data from diverse sources. Collaboration with a tight engineering team is essential.

The role emphasizes deep learning, OpenCV, and state‑of‑the‑art CV research to push practical AI boundaries in a challenging environment.

Qualifikationen

• Bachelor's or Master's in Computer Science, Engineering, or related field with a CV/ML focus.
• Proven experience in developing and deploying computer vision solutions.
• Strong understanding of feature extraction, image processing and geometric vision.
• Proficiency in Python and C++.
• Hands-on experience with deep learning frameworks (TensorFlow, PyTorch) and OpenCV.
• Familiarity with object detection models (YOLO, Faster R-CNN) and tracking.
• Experience with data augmentation, model optimization, and transfer learning.

Aufgaben

• Design, develop, and implement CV algorithms for detection, tracking, segmentation, and recognition.
• Use TensorFlow/PyTorch to build and train advanced CV models.
• Process and analyze large image/video datasets; ensure data quality.
• Optimize algorithms for real‑time performance and edge/cloud deployment.
• Collaborate with software engineers to integrate CV models into production.
• Research state‑of‑the‑art CV techniques and contribute to R&D efforts.
• Evaluate model performance and implement improvements.
• Document specifications, findings, and implementation details.

Kenntnisse

Python

C++

OpenCV

TensorFlow

PyTorch

YOLO

Faster R-CNN

Edge deployment

AWS

GCP

Azure

Ausbildung

Bachelor's or Master's in CS/Engineering (CV/ML focus)

Tools

TensorFlow

PyTorch

OpenCV

Jobbeschreibung

Placements24 in Richards Bay, KwaZulu-Natal is seeking a Computer Vision Engineer to develop and deploy CV solutions. You will work on object detection, tracking, and recognition, leveraging TensorFlow and PyTorch across edge and cloud platforms, with data from diverse sources. Collaboration with a tight engineering team is essential.

The role emphasizes deep learning, OpenCV, and state‑of‑the‑art CV research to push practical AI boundaries in a challenging environment.