Computer Vision Engineer - Object Detection and Tracking

Placements24; Richards Bay; On-site; ZAR 700,000 - 1,100,000; Full time

Benefits offered by this job

Competitive rate

Cutting‑edge projects

Wide CV applications

Professional development

Collaborative team

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

C++

OpenCV

TensorFlow

PyTorch

YOLO

Faster R-CNN

Edge deployment

AWS

GCP

Azure

Education

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

Tools

TensorFlow

PyTorch

OpenCV

Job description

About the Role

Our client, a rapidly growing technology firm, is seeking a talented Computer Vision Engineer to join their innovative team in Richards Bay, KwaZulu-Natal . This role focuses on the development and implementation of advanced computer vision algorithms, particularly in the areas of object detection, tracking, and recognition. You will work on challenging projects that involve analyzing and interpreting visual data from various sources, contributing to the creation of intelligent systems for diverse applications. The position requires a strong foundation in computer vision principles, machine learning, and deep learning techniques. You will be an integral part of a dedicated engineering team, collaborating to solve complex problems and push the boundaries of visual AI. This is an exciting opportunity to contribute to impactful projects within the dynamic landscape of AI and computer vision in Richards Bay .

Key Responsibilities

• Design, develop, and implement computer vision algorithms for object detection, tracking, segmentation, and recognition.
• Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) to build and train advanced CV models.
• Process and analyze large image and video datasets, ensuring data quality and integrity.
• Optimize algorithms for real-time performance and deployment on edge devices or cloud platforms.
• Collaborate with software engineers to integrate CV models into production systems.
• Conduct research on state-of-the-art computer vision techniques and contribute to R&D efforts.
• Evaluate model performance, identify limitations, and implement improvements.
• Document technical specifications, research findings, and implementation details.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field with a focus on Computer Vision or Machine Learning.
• Proven experience in developing and deploying computer vision solutions.
• Strong understanding of core CV concepts such as feature extraction, image processing, and geometric vision.
• Proficiency in programming languages like Python and C++.
• Hands‑on experience with deep learning frameworks (TensorFlow, PyTorch) and libraries like OpenCV.
• Familiarity with object detection models (e.g., YOLO, Faster R‑CNN) and tracking algorithms.
• Experience with data augmentation, model optimization, and transfer learning techniques.
• Ability to work effectively in a team environment and strong problem‑solving skills.
• Knowledge of cloud platforms (AWS, GCP, Azure) is a plus.

Benefits

• Competitive contract rate commensurate with experience.
• Opportunity to work on cutting‑edge AI projects.
• Exposureto a wide range of computer vision applications.
• Professionaldevelopment opportunities.
• Collaborative team environment.